JPH07110845A - Handwriting input information processing management system - Google Patents

Abstract

(57) [Summary] [Structure] A means for generating and saving a plurality of character recognition candidate data from handwritten input information, managing the data and the handwritten input information by linking, and a plurality of character recognitions linked with the handwritten characters. By comparing and judging candidate data,
Equipped with a means to search for handwritten characters. According to the method of the present invention, a search process for handwritten characters can be performed, which allows a search process for memo information in a pen input computer to be performed only by a handwriting input method. As a result, an interface that takes advantage of the characteristics of a pen input computer (such as being able to operate like a pen with paper) compared to the conventional method can be realized on a system that handles handwritten input information.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a search process for handwritten input information. In particular, regarding a pen input computer that can input information as if it is a letter and a pen, and a handwriting input information management system that uses this device, in the business field of using the pen input computer on the go (diplomacy, sales, delivery, etc.), It also relates to applications that manage customer information, survey information, etc. as handwritten input information.

[0002]

2. Description of the Related Art As a conventional technique, there is a so-called memo information management system. In this system, handwritten characters and figures called memo information are linked to a standard table (form, etc.) and a specific image (map, etc.) to manage them. Such memo information is often treated as image data. Therefore, it is difficult to search memo information. Therefore, as a method for improving this point, there is a method in which a text-formatted heading is linked to memo information and a search process is performed using the textual heading. In this method, the memo information itself is input by handwriting, and the finding is input by means of a text input (input area for character recognition, keyboard for pen input, etc.).

As a text inputting means using such a pen, there is a handwriting character recognizing means which can be used on an OS such as Windows for Pen or PenPoint (Nikkei Byte 1
April 991 p239). Further, as a character recognition method for converting a handwritten character into a text, Japanese Patent Laid-Open No.
4227, JP-A-60-112187, JP-A-63-3
54589 and the like.

[0004]

As described above, in order to search memo information, "a method for managing memo information by using a text format finding linked to the memo information, etc." There is. However, in this method, the user needs to be aware of the distinction of the input means between the memo information and the found portion, and the consistency of the input method is lost. In particular, when a keyboard is not provided, a problem occurs in operability, and the handwriting sensation that is a characteristic of a pen input computer cannot be used.
The problem of such operability is that the search processing of handwritten characters is not performed, and the realization of this is necessary for the search processing of memo information.

An object of the present invention is to eliminate a "work of separating input methods of handwritten characters and text characters in a memo management system" by using a search process between handwritten characters, and to provide a memo information management system with an emphasis on handwriting feeling. It is to be realized.

[0006]

In order to achieve the above object, the system of the present invention is characterized in that the following means are provided.

(1) Means for inputting memo information and finding information by handwriting.

(2) Means for linking memo information and finding information.

(3) Means for displaying a list of found information on the screen.

(4) A means for detecting "which heading information was selected by the pen from the finding information displayed as a list on the screen".

(5) Means for displaying memo information linked to the selected headline information when the handwriting input finding information is selected.

(6) A means for manually inputting search conditions.

(7) A means for generating and storing a plurality of recognition candidate characters for a partial string of a handwritten character string (8) Handwritten character recognition based on the finding information input in (1) and the search condition input in (8). And means for generating and storing a plurality of recognition candidate character data for each using the means of (7).

(9) Means for comparing the data generated / saved in (8) to determine whether or not the search information includes the search condition.

(10) Means for displaying a list of handwriting input finding corresponding to the search condition.

[0016]

In the system of the present invention, the means (1) to (10) described above operate as follows. So that the registration process of memo information and finding information can be done only by handwriting input means,
The means (1) works. The means of (2) and (3) work so that the list of found information of registered memo information can be referred to. When you select the finding information with a pen, memo information linked to the heading information is displayed on the screen,
The means of (4) and (5) work. The means of (6)-(10) operate so that the search condition can be performed only by the handwriting input means and the search processing of the found information can be performed based on the search condition.

[0017]

FIG. 4 shows an example of the external appearance of a pen input computer. This pen input computer has a pen 2100 as an input device instead of a normal keyboard.
In this pen input computer, operation of the pen input computer can be performed by moving the pen 2100 on the input / display screen 2200.

FIG. 1 shows the configuration of the above pen input computer. This figure is a system configuration diagram of the system of the present invention, and comprises the following parts. CPU 1, bus 2, pen 3, handwriting input unit 4, display unit 5, tablet interface 6, drawing processor 7, main memory 8, handwritten character recognition unit 9, file data storage device 10, search unit 11, display memory 12.

Among these parts, the handwriting recognition section 9 recognizes the handwritten characters of the image data and generates the recognized characters as text data. FIG. 2 shows an input / output example of the handwriting recognition unit 9. Character recognition processing 130 for handwritten characters 1100
When 0 is performed, an array 1400 of 3 × 3 text data is obtained. Character recognition processing 130 for handwritten information 1200
When 0 is performed, 1500 of 5 × 3 text data is obtained.

Hereinafter, how to obtain the output data of the handwriting recognition section 9 will be described. Here, to simplify the description, the output text data Data is expressed in an array format. First, the handwriting recognition unit 9 cuts out a character area from a given image and divides the handwritten character into character units. Here, it is assumed that it is divided into M1 handwritten characters. In the case of the handwritten character 1100, M1 = 3. A feature amount is generated from this handwritten character. The feature amount is compared with the feature amount of the text character prepared in advance, and the distance of the feature amount is evaluated. The sequence of candidate characters for each handwritten character is obtained from this distance, and the characters from the first candidate character to the Nth candidate character are output as the recognition result. In the following embodiment, the maximum candidate character number N is constant. Note that N is not limited to a constant, and different values of N may be used for each handwritten character. In FIG. 3, N = 3. At this time, the handwriting recognition unit 9
Each element of the output text data Data of Data [m1] [n] (1 ≤
m1 ≦ M1, 1 ≦ n ≦ N) stores the nth candidate character for the m1th handwritten character.

The search unit 11 performs a search between the text data arrays generated by the handwriting recognition unit 9 and determines whether "the text data of the search condition is included in the text data of the search target". The text data of the search condition is represented by array Key, and the text data to be searched is represented by Data. In FIG. 3, examples of Key and Data are shown by 1400 and 1500, respectively. At this time, Key [m0] [n] (1≤m
0 ≤ M0, 1 ≤ n ≤ N) means "m among the handwritten characters in the search condition
Represents the nth candidate character for the 0th handwritten character ". Similarly, Data [m1] [n] (1 ≦ m1 ≦ M1, 1 ≦ n ≦ N) is the first for the m1 handwritten character of the handwritten characters of the heading information.
n represents a candidate character. In the example of FIG. 3, N = M0 = 3 and M1 = 5.

These text data Key [M0] [N] and Targ
The search judgment is performed between etData [M1] [N] using the following search evaluation conditions.

(Search Evaluation Condition) For each m0 (1 ≦ m0 ≦ M0), the condition “set {Key [m0] [1], Key [m0] [2], ..., Key [m0] [N]}
And the set {Data [m0] [1], Data [m0] [2], ..., Data [m0]
If there is a common character with [N]}, it is determined that the handwritten character of the search condition is included in the handwritten character of the search target.

In FIG. 3, there is a common character "shellfish" between the columns 1410 and 1510, and the same holds for the columns 1420 and 1520 and the columns 1430 and 1530. Corresponds to the search condition 1200 ”. From now on, "The above search conditions must be satisfied between Data and Key"
Key is included ”. The search evaluation conditions are not limited to the above. These handwriting recognition unit 9
The search unit 11 and the search unit 11 can be realized as a device of a pen input computer or as software.

(Outline of operation of system of the present invention) An outline of operation realized by the system of the present invention in the above system is shown in FIGS.
To explain. 5 to 7 are diagrams showing an example of the display screen of the present invention. (1) Registration Operation of Memo Information and Headline Information In the memo input window 3100, a finding information input area 3110 and a memo information input area 3120 are prepared. The user inputs the heading information and the memo information of the memo information into these areas, respectively. Characters and figures input by the user are registered in the file data storage device 10 as image data.

(2) Retrieval Operation of Heading Information The heading list window 4100 displays a list of the heading information registered in (1). To search for necessary heading information from the list of heading information, the search condition 4210 is manually input in the search condition window 4200, and then the search button 4220 is pressed. Then, a list of found information matching the search condition 4210 is displayed in the search result display window 4
It is displayed on 300.

(3) Memo information display operation A headline of memo information desired to be viewed is selected from the list of found information displayed in the search result display window 4300.
For example, if finding information 4310 is selected, finding information 4
The memo information 4420 linked to 310 is displayed in the memo display window 5400.

Two embodiments will be described in detail below. First, the differences between Example 1 and Example 2 will be outlined.
Next, an outline of processing common to the first and second embodiments will be shown.
Finally, detailed processing contents of each embodiment will be described.

(Differences between Example 1 and Example 2) Example 1
And in the second embodiment, "in the memo information registration process and the search process,
What kind of file operation is done? "
In the first embodiment, when the memo information is registered, the heading information is recognized, and the text data obtained by the character recognition is registered in a file in advance. At the time of search, search processing is performed using this text data. On the other hand, in the second embodiment, character recognition is not performed when memo information is registered. At the time of search, character recognition of the headline information is performed, and the search process is performed using the text data obtained as a result.

The differences between the first and second embodiments will be described below.
An example using FIGS. 8 and 9 and FIGS. 10 and 11 will be described. Two files called a memo information file 6200 and a memo management information file 6400 are used for the memo information registration processing in the first embodiment (FIG. 8). Memo information file 6200
The headline information 6110 and the memo information 6120 entered in the memo information input window 6100 are registered as image data 6210 and 6220, respectively. Then, in the memo management information file 6400, character recognition processing 6300 is performed on the headline information 6110, and the result obtained by character recognition is registered as text data 6410. These file data comrades are linked, and this link information 65
00, the image data 6210 of the headline information is associated with the text data 6210 obtained based on the image data 6210.

For the search processing, the above-mentioned memo management information file 6400 is used as follows (FIG. 9). First, a search condition 661 is displayed in the search condition input window 6600.
Enter 0 by handwriting. Character recognition processing 6300 is performed on the input search condition 6610, and text data 670
Get 0. A search process 6800 is performed based on the search condition text data 6700 and the heading information text data 6410. Search condition text data 6700
Is included in the text data 6410 of the headline information, the search processing 6800 determines that “the headline information 6210 corresponds to the search condition 6610”.

Only the memo information file 6200 is prepared for the memo information registration processing in the second embodiment (see FIG. 1).
0). In this memo information file 6200, headline information 6110 and memo information 6120 are stored as image data 6210 and 6220, respectively, as in the first embodiment.

This memo information file 62 is used for retrieval processing.
00 is used as follows (FIG. 11). First, the character recognition process 6300 is performed on the image 6610 of the search condition to obtain the text data 6700. Then, the character recognition processing 6300 is performed also on the heading information 6210 of the memo information file.
Then, the text data 6900 is obtained. Search condition text data 6700 and heading information text data 6
Based on 900, search processing 6800 is performed. If the text data 6700 of the search condition is included in the text data 6900 of the headline information, the “headline information 621
0 corresponds to the search condition 6510. "
A judgment is made at 0.

(Outline of processing common to the first and second embodiments) FIG.
2 is used to show an outline of processing common to the first and second embodiments. In step 8100, the memo information and the finding information are registered. In step 8200, it is determined whether or not the registration process of the memo information and the finding information is completed. In step 8300, a list of finding information registered in step 8100 is displayed. In step 8400, search conditions are input and search processing is performed, and a list of headline information that matches the search conditions is displayed. In step 8500, memo information having heading information selected from the list of heading information displayed in step 8400 is displayed.

(Detailed Description of Embodiment 1) Above (embodiment 1)
And the difference between the second embodiment and the second embodiment), the first embodiment uses the memo information file and the memo management information file. These file structures will be described below, and then a detailed subroutine for realizing steps 8100, 8300, 8400, 8500 of FIG. 12 will be described.

The structure of the memo information file is shown in FIG. This file is composed of the following elements (1) to (7) as a unit. (1) Memo number 9100 for distinguishing each memo information (2) Width of found image 9200 (3) Height of found image 9300 (4) Data of found image 9400 (5) Image width of memo information 9500 (6) Height of image of memo information 9600 (7) Data of image of memo information 9700 In this memo information file, the maximum value of the memo number will be represented by MemoMaxNo9110 in the future, and "1 or more and MemoMaxNo9
An integer less than or equal to 110 ”will be represented by MemoNo9120. At this time, KeyWord (MemoNo) 9410 represents the image data input as the finding, and KeyWordWidth (MemoNo)
9210 and KeyWordHeight (MemoNo) 9310 represent the width and height of KeyWord (MemoNo) 9410, respectively. Memo (MemoNo) 9710 represents image data input as memo information, and MemoWidth (MemoNo) 9510, MemoHei.
ght (MemoNo) 9610 is Memo (MemoNo) 971 respectively
It represents the width and height of zero.

The structure of the memo management information file is shown in FIG. This file is composed of the following elements (1) to (3) as a unit. (1) Memo number 10100 (2) Memo management information size 10200 (3) Memo management information 10300 Here, MemoMaxNo10110 and MemoNo10120 represent the same thing as what was mentioned in the memo information. At this time, KeyWor
dInfo (MemoNo) 10310 is KeyWord (MemoNo) 9410
Represents text data obtained by character recognition of
dInfoSize (MemoNo) 10210 is KeyWordInfo (MemoNo)
This indicates the data size of 10310. This KeyWordInfo (Me
In moNo), for example, the number of characters of KeyWordInfo (MemoNo) is stored. Both of the above two data files are
It is placed in the file data storage device 10.

FIG. 15 is a flow chart showing a detailed subroutine of step 8100 of FIG. 12, in which "memo information and finding registration processing" is performed. In step 11100, the finding information is input and the memo management information data is generated. First, the handwritten character KeyWord input to the finding area 3110 of FIG. 5 is sent to the handwritten character recognition unit 9, and the text data KeyWordInfo is generated in the main memory 8. In step 11200, the maximum memo number MemoNo
Update Max. First, when registering a data file in the memo information file, MemoNoMax = 1, and when data is already registered, MemoNoMax is updated to MemoNoMax + 1.

In step 11300, a memo number is appropriately assigned to the KeyWordInfo generated in the previous step, and the following items are registered in the memo management information file of the file data storage device 10. (1) Register the memo number that has gone down as MemoNo10120. (2) The size of KeyWordInfo generated in the previous step 11200 is registered as KeyWordInfoSize (MemoNo) 10210. (3) KeyWordInfo generated in the previous step 11200
Is registered as KeyWordInfo (MemoNo) 10310.

In step 11400, the handwritten memo information Memo is input to the memo information area 3120 of FIG.
In step 11500, the following items are sequentially registered in the memo information file of the file data storage device. (1) Enter the memo number you renumbered in the previous step 11300.
Register as MemoNo9120. (2) The width and height of the KeyWord input in the previous step 11100 are respectively KeyWordWidth (MemoNo) 9210 and Ke.
Register as yWordHeight (MemoNo) 9310. (3) Use the KeyWord entered in the previous step 11100 as the Key
Register as Word (MemoNo) 9410. (4) MemoWidth (MemoNo) 9510 and MemoHeigh are the width and height of the Memo input in the previous step 11400, respectively.
Register as t (MemoNo) 9610. (5) The Memo entered in the previous step 11400 is changed to Memo (M
Register as emoNo) 9710.

FIG. 16 is a flow chart showing the detailed subroutine of step 8300 of FIG. 12, in which "header information list display" is performed. In step 12100, MemoNo
Is set to 1. In step 12200, KeyWordWid
th (MemoNo) 9210 and KeyWordHeight (MemoNo) 9310
Are read into the main memory 8 and KeyWord (MemoNo) 9410 is read into the display memory 12 from the memo information file.
Then, KeyWord (MemoNo) 9410 is displayed on the display unit 5. In step 12300, MemoNo is updated and set to the next memo number. In step 12400, it is determined whether MemoNo exceeds the maximum memo number MemoNoMax.

FIG. 17 is a flowchart showing the detailed subroutine of step 8400 of FIG. 12, in which "input of search conditions and search processing" are performed. In step 13100, the handwritten character SearchKeyWord of the search condition is input to the search condition input area 4200 of FIG. And handwriting Searc
Send hKeyWord to the handwritten character recognition unit 9 to send text data
SearchKeyWordInfo is generated in the main memory 8. In step 13200, it is determined whether or not the search button 4220 has been pressed. In step 13300, set MemoNo to 1
Initialize to. In step 13400, the text data KeyWordInfo (MemoNo) 10 of the memo management information file is displayed.
In the search unit 12, it is determined whether or not the text data SearchKeyWordInfo is included in 310 ”.
In step 13500, KeyWordWidth (MemoNo) 921
0 and KeyWordHeight (MemoNo) 9310 as main memory 8
Then, KeyWord (MemoNo) 9410 is read into the display memory 12 from the memo information file. And KeyWord
(Memo No) 9410 is displayed on the display unit 5. Step 13
At 600, MemoNo is updated to MemoNo + 1 and the next memo number is set.

At step 13700, it is determined whether "MemoNo exceeds the maximum memo number MemoNoMax".

FIG. 18 is a flow chart showing a detailed subroutine of step 8500 of FIG. 12, in which "memo information display processing" is performed. In step 14100, it is determined "which headline was selected with the pen from the search result finding information list displayed on the screen". Step 14200
Then, MemoNo is set to the memo number corresponding to the finding information selected in 14100. In step 14300, Me
moWidth (MemoNo) 9510 and MemoHeight (MemoNo) 952
0 is read into the main memory 8 and Memo (MemoNo) 9710 is read into the display memory 12 from the memo information file. Then, based on these, Memo (MemoNo) 9710 is displayed on the display unit 5
To display.

(Second Embodiment) The structure of the memo information file used in the second embodiment is the same as that used in the first embodiment. However, the memo management information file is not used. In the following, among the detailed subroutines of the second embodiment, only steps 8100 and 8400 of FIG. 12 different from the first embodiment will be described. Steps 8300 and 8500 are the same as those in the first embodiment.

FIG. 19 is a flow chart showing a detailed subroutine of step 8100 of FIG. 12, in which "memo information and finding registration processing" is performed. In step 15100, the finding information KeyWord is input. Step 1
At 5200, handwritten memo information Memo is input. In step 15300, the maximum memo number MemoNo
Update Max. First, when registering a data file in the memo information file, MemoNoMax = 1, and when data is already registered, MemoNoMax is updated to MemoNoMax + 1.

At step 15400, the memo number is appropriately assigned to Memo. The following items are sequentially registered in the memo information file of the file data storage device 10.

(1) Change the memo number to MemoNo91
Register as 20.

(2) Ke entered in the previous step 15100
The width and height of yWord are respectively KeyWordWidth (MemoNo)
9210, KeyWordHeight (MemoNo) 9310 is registered.

(3) Ke entered in the previous step 15100
Register yWord as KeyWord (MemoNo) 9410.

(4) Me entered in the previous step 15200
The width and height of mo are MemoWidth (MemoNo) 951
0, registered as MemoHeight (MemoNo) 9610.

(5) Me entered in the previous step 15200
Register mo as Memo (MemoNo) 9710.

FIG. 20 is a flow chart showing the detailed subroutine of step 8400 of FIG. 12, in which "input of search conditions and search processing" are performed. In step 16100, first, the handwritten character SearchKeyWord of the search condition is input. Then, the width / height of SearchKeyWord and SearchKeyWord are sent to the handwritten character recognition unit 9, and the text data SearchKeyWor
The dInfo is generated in the main memory 8. In step 16200, it is determined whether the search button 4220 has been pressed.
In step 16300, MemoNo is initialized to 1. In step 16400, KeyWordWidth (MemoNo) 921
0, KeyWordHeight (MemoNo) 9310, KeyWord (MemoNo)
9410 is sent to the handwritten character recognition unit 9, and the text data is sent.
KeyWordInfo is generated in the main memory 8.

In step 16500, "previous step 1
In the KeyWordInfo generated by the 6400, the text data S
Search section 11 "Whether earchKeyWordInfo is included"
Judgment in. In step 16600, KeyWordW
idth (MemoNo) 9210 and KeyWordHeight (MemoNo) 931
0 is read into the main memory 8 and KeyWord (MemoNo) 9410 is read into the display memory 12 from the memo information file. And based on these, KeyWord (MemoNo) 941
0 is displayed on the display unit 5. In step 16700, Me
Update moNo to MemoNo + 1 and set the next memo number.
In step 16800, it is determined "whether or not MemoNo exceeds MemoNoMax".

In the first and second embodiments described above, the heading information is prepared separately from the memo information. However, it is not always necessary to separately prepare the headline information, and the search process can be performed on the memo information itself. This can be realized by performing the processing performed on the header information in the first and second embodiments on the memo information itself.

In this embodiment, KeyWordInfo (MemoNo) 10
Although 310 is only text data, KeyWordInfo (Me
The moNo) 10310 is not limited to text data. When the handwritten character recognition device outputs data other than text data, this data is also copied by KeyWordInf.
It can be used as o (MemoNo) 10310.

In the present embodiment, the output of the handwriting recognition unit 9 is text data, but the output is not limited to this. In addition to the text data, the feature amount of the handwritten character generated in the process of character recognition may be used as the output data. The search evaluation condition for the feature amounts may be used in the search unit 11.

Further, by applying the present embodiment, the keyword of the text data can be retrieved by the retrieval condition of handwriting input. To perform this search process, the keyword 1710
The text data 17200, which will be erroneously recognized when a keyword is handwritten input to 0, is linked. When the search condition 17300 is input by handwriting, the character recognition processing 1300 is performed on the search condition 17300, and the text data 17400 is output. Then, a search process 1800 is performed on the text data 17400 and 17200 to determine "whether or not the keyword of the text data meets the search condition".

[0059]

According to the method of the present invention, a search process can be performed between handwritten characters by using the similarity between handwritten characters. In particular, by using this search process for memo information, "you can manage memo information only by handwriting input method.
A consistent handwritten memo information management system can be realized. Therefore, it is possible to provide an interface in which the paper and pen feel, which is a feature of the pen input computer, is more important than the conventional method. In addition, an operation that emphasizes handwriting can be realized on an application that manages memo information.

Further, according to the system of the present invention, memo information can be managed by taking advantage of both image data and text data. For example, text data alone cannot leave the personality of a handwritten character (characteristics of handwriting, etc.) as information, but since the method of the present invention uses the handwritten input character information itself for display, such information is also lost. Absent.
On the other hand, editing work such as search processing cannot be performed only with image data, but since the memo information is also managed as text in the method of the present invention, editing work such as search can be performed.

[Brief description of drawings]

FIG. 1 is a system configuration diagram of a system of the present invention.

FIG. 2 is an input / output diagram of a handwritten character recognition processing unit.

FIG. 3 is an input diagram of a search unit.

FIG. 4 is an external view of a pen input computer.

FIG. 5 is a diagram showing an example of a screen display of the present invention.

FIG. 6 is a diagram showing an example of a screen display of the present invention.

FIG. 7 is a diagram showing an example of a screen display of the present invention.

FIG. 8 illustrates a registration process according to the first exemplary embodiment.

FIG. 9 is a diagram showing a search process in the first embodiment.

FIG. 10 illustrates a registration process according to the second exemplary embodiment.

FIG. 11 is a diagram showing a search process in the second embodiment.

FIG. 12 is a flowchart showing an outline of processing of Embodiments 1 and 2.

FIG. 13 is a configuration diagram of a memo information file.

FIG. 14 is a configuration diagram of a memo management information file.

FIG. 15 is a flowchart showing a registration process of memo information and a heading according to the first embodiment.

FIG. 16 is a flowchart showing a list display of heading information.

FIG. 17 is a flowchart showing search condition input and search processing in the first embodiment.

FIG. 18 is a flowchart showing display of memo information.

FIG. 19 is a flowchart showing a registration process of memo information and a heading according to the second embodiment.

FIG. 20 is a flow chart showing search condition input and search processing in the second embodiment.

FIG. 21 is an application example of the present embodiment.

[Explanation of symbols]

1 ... CPU, 2 ... Bus, 3 ... Pen, 4 ... Handwriting information input section, 5 ... Display section, 6 ... Tablet interface, 7
... Drawing processor, 8 ... Main memory, 9 ... Handwritten character recognition unit, 10 ... Search unit, 11 ... File data storage device, 1
2 ... Display memory.

Claims (5)

[Claims] 1. A pen input computer performs recognition processing on handwritten characters, generates a plurality of recognition candidate character strings of a partial string of a handwritten character string, and generates a plurality of generated recognition candidate character strings. By comparing the character recognition means stored in the file storage device or the memory of the pen input computer with a plurality of recognition candidate character data strings stored by the means, a search means for determining the similarity between handwritten characters A handwritten input information management system. 2. A pen input computer, wherein a means for inputting a handwritten image as memo information, a means for inputting the finding information of the memo information as an image, the memo information and the corresponding finding information are linked. A handwriting input information management system consisting of a means for managing and a means for displaying a list of found information on the screen. 3. In a pen input computer, means for inputting a search condition for finding information of memo information as an image by handwriting, handwritten characters of the search condition and said heading information, and said character recognition means and search means. A means for determining whether or not the headline information includes handwritten characters of the search condition by using, and a means for displaying the finding information determined to meet the search condition on the screen.
Handwritten input information management system of the description. 4. In a pen input computer, means for displaying a list of the finding information, means for detecting which heading information is selected from the displayed heading information by using a pen, and selected heading information. The handwriting input information management system according to claim 3, comprising means for displaying linked handwritten image information. 5. In a pen input computer, text data of erroneous recognition information that is expected to be obtained by erroneously recognizing a keyword as a keyword when handwritten is registered in advance, and the data and the text are registered. By using the character recognition means and the search means for the means for linking with the keyword of the data, the means for inputting the search condition by handwriting, the text data of the misidentification information and the search condition input by the handwriting, 2. The handwritten input information management system according to claim 1, further comprising means for determining whether or not the search condition is included in.