CN107909080A - A kind of Word Input system and method - Google Patents
A kind of Word Input system and method Download PDFInfo
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- CN107909080A CN107909080A CN201711025339.7A CN201711025339A CN107909080A CN 107909080 A CN107909080 A CN 107909080A CN 201711025339 A CN201711025339 A CN 201711025339A CN 107909080 A CN107909080 A CN 107909080A
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- 238000000605 extraction Methods 0.000 claims abstract description 19
- 239000000284 extract Substances 0.000 claims abstract description 10
- 239000003086 colorant Substances 0.000 claims description 3
- 230000004075 alteration Effects 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 description 6
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
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Abstract
The present invention provides a kind of Word Input system and method, and system includes:Scan module, for the background picture with word to be scanned, obtains pending image;First extraction module, for extracting the first color value and the first brightness value of pending image entirety, and extracts the second color value and the second brightness value of word segment in pending image;Module is adjusted, for being adjusted respectively to the first color value and the second color value according to pre-set color value, and the first brightness value and the second brightness value are adjusted according to predetermined luminance value;Second extraction module, for extracting character image from the pending image after adjustment;Modular converter, for the character image extracted to be converted to corresponding letter symbol.The present invention can be by the way that the aberration of background and word segment be widened, to be adjusted, it is easier to extracts word segment, discernment is strong.
Description
Technical field
The invention mainly relates to technical field of information processing, and in particular to a kind of Word Input system and method.
Background technology
Text region is that character image is extracted from image, then the process of pure words is converted to by character image.
Since overall background and word segment aberration and brightness identification be not high, the existing skill by image conversion word
In art, recognition performance is bad, be easy to cause identification mistake, it is necessary to carry out secondary correction, and corrects cumbersome, work effect
Rate is low.
The content of the invention
The present invention is directed to the deficiency of above-mentioned technical problem, there is provided a kind of Word Input system and method.
The technical solution that the present invention solves above-mentioned technical problem is as follows:A kind of Word Input system, including:
Scan module, for the background picture with word to be scanned, obtains pending image;
First extraction module, for extracting the first color value and the first brightness value of pending image entirety, and extracts and treats
Handle the second color value and the second brightness value of word segment in image;
Module is adjusted, for according to pre-set color value the first color value to pending image entirety and pending figure respectively
The second color value of word segment is adjusted as in, increases the difference of the first color value and the second color value, and according to default bright
Angle value is adjusted the second brightness value of word segment in the first brightness value of pending image entirety and pending image, increases
The difference of first brightness value and the second brightness value;
Second extraction module, for extracting character image from the pending image after adjustment;
Modular converter, for the character image extracted to be converted to corresponding letter symbol.
The beneficial effects of the invention are as follows:By the way that background and word segment are carried out treatment of details, color value and brightness are adjusted
Value is so that word segment protrudes, it is easier to extracts word segment, discernment is strong.
Based on the above technical solutions, the present invention can also be improved as follows.
Further, the adjustment module is specifically used for, and the first color value is subtracted pre-set color is worth to the first new face
Colour, the second new color value is worth to by the second color value plus pre-set color, according to the first new color value and new the
Second colors value is adjusted pending image;
First brightness value is subtracted into predetermined luminance and is worth to the first new brightness value, the second brightness value is added into predetermined luminance
The second new brightness value is worth to, pending image is adjusted according to the first new brightness value and the second new brightness value.
Using having the beneficial effect that for above-mentioned technical characteristic:The value of chromatism of overall background colour and word segment and bright can be pulled open
Angle value, easy to preferably identify character image.
Further, second extraction module is specifically used for, and word segment is carried out from the pending image after adjustment
Side processing is retouched, text profile is obtained, character image is extracted according to text profile.
Using having the beneficial effect that for above-mentioned technical characteristic:Since overall background colour and the color of word segment and brightness carry out
Processing, can make word segment more prominent, easy to extract character image.
Further, the modular converter is specifically used for, according to the character image extracted and the word in default literal pool
Image is matched, and obtains matched character image, and corresponding letter symbol is obtained by the character image matched.
It is using above-mentioned further beneficial effect:The character image plucked out is matched with the character image to prestore,
Corresponding letter symbol is obtained by the character image matched again.
Another technical solution that the present invention solves above-mentioned technical problem is as follows:A kind of text extraction method, including:
Background picture with word is scanned, obtains pending image;
The first color value and the first brightness value of pending image entirety are extracted, and extracts word segment in pending image
The second color value and the second brightness value;
According to word segment in pre-set color value respectively the first color value to pending image entirety and pending image
Second color value is adjusted, and increases the difference of the first color value and the second color value, and according to predetermined luminance value to pending
The second brightness value of word segment is adjusted in the first brightness value and pending image of image entirety, increase the first brightness value and
The difference of second brightness value;
Character image is extracted from the pending image after adjustment;
The character image extracted is converted into corresponding letter symbol.
Based on the above technical solutions, the present invention can also be improved as follows.
Further, it is described that the first color value and the second color value are adjusted respectively according to pre-set color value, and according to
Predetermined luminance value is adjusted and specifically includes to the first brightness value and the second brightness value:
First color value is subtracted into pre-set color and is worth to the first new color value, the second color value is added into pre-set color
The second new color value is worth to, pending image is adjusted according to the first new color value and the second new color value;
First brightness value is subtracted into predetermined luminance and is worth to the first new brightness value, the second brightness value is added into predetermined luminance
The second new brightness value is worth to, pending image is adjusted according to the first new brightness value and the second new brightness value.
It is using above-mentioned further beneficial effect:The aberration of background colour in pending image and word segment is increased
Greatly, be conducive to obtain the image of word segment.
Further, character image is extracted in the pending image after adjustment to specifically include:From treating after adjustment
Word segment is carried out in processing image to retouch side processing, text profile is obtained, character image is extracted according to text profile.
Further, it is described the character image extracted is converted into corresponding letter symbol to specifically include:According to extracting
Character image matched with the character image in default literal pool, obtain matched character image, pass through the text matched
Word image obtains corresponding letter symbol.
It is using above-mentioned further beneficial effect:The character image plucked out is matched with the character image to prestore,
Corresponding letter symbol is obtained by the character image matched again.
Brief description of the drawings
Fig. 1 is the module frame chart for the Word Input system that one embodiment of the invention provides;
Fig. 2 is the method flow diagram for the text extraction method that another embodiment of the present invention provides.
Embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
Fig. 1 is the module frame chart for the Word Input system that one embodiment of the invention provides;
As shown in Figure 1, a kind of Word Input system, including:
Scan module, for the background picture with word to be scanned, obtains pending image;
First extraction module, for extracting the first color value and the first brightness value of pending image entirety, and extracts and treats
Handle the second color value and the second brightness value of word segment in image;
Module is adjusted, for according to pre-set color value the first color value to pending image entirety and pending figure respectively
The second color value of word segment is adjusted as in, increases the difference of the first color value and the second color value, and according to default bright
Angle value is adjusted the second brightness value of word segment in the first brightness value of pending image entirety and pending image, increases
The difference of first brightness value and the second brightness value;
Second extraction module, for extracting character image from the pending image after adjustment;
Modular converter, for the character image extracted to be converted to corresponding letter symbol.
Optionally, it is specifically used for, the first color value is subtracted pre- as one embodiment of the present of invention, the adjustment module
If color is worth to the first new color value, the second color value is worth to the second new color value plus pre-set color, according to
The first new color value and the second new color value are adjusted pending image;
First brightness value is subtracted into predetermined luminance and is worth to the first new brightness value, the second brightness value is added into predetermined luminance
The second new brightness value is worth to, pending image is adjusted according to the first new brightness value and the second new brightness value.
Optionally, be specifically used for as one embodiment of the present of invention, second extraction module, from treating after adjustment from
Word segment is carried out in reason image to retouch side processing, text profile is obtained, character image is extracted according to text profile.
Optionally, it is specifically used for as one embodiment of the present of invention, the modular converter, according to the word graph extracted
As being matched with the character image in default literal pool, matched character image is obtained, is obtained by the character image matched
To corresponding letter symbol.
Fig. 2 is the method flow diagram for the text extraction method that another embodiment of the present invention provides;
Optionally, as an alternative embodiment of the invention, as shown in Fig. 2, a kind of text extraction method, including:
Background picture with word is scanned, obtains pending image;
The first color value and the first brightness value of pending image entirety are extracted, and extracts word segment in pending image
The second color value and the second brightness value;
According to word segment in pre-set color value respectively the first color value to pending image entirety and pending image
Second color value is adjusted, and increases the difference of the first color value and the second color value, and according to predetermined luminance value to pending
The second brightness value of word segment is adjusted in the first brightness value and pending image of image entirety, increase the first brightness value and
The difference of second brightness value;
Character image is extracted from the pending image after adjustment;
The character image extracted is converted into corresponding letter symbol.
Optionally, as one embodiment of the present of invention, it is described according to pre-set color value respectively to the first color value and
Second colors value is adjusted, and the first brightness value and the second brightness value are adjusted and specifically included according to predetermined luminance value:
First color value is subtracted into pre-set color and is worth to the first new color value, the second color value is added into pre-set color
The second new color value is worth to, pending image is adjusted according to the first new color value and the second new color value;
First brightness value is subtracted into predetermined luminance and is worth to the first new brightness value, the second brightness value is added into predetermined luminance
The second new brightness value is worth to, pending image is adjusted according to the first new brightness value and the second new brightness value.
In above-described embodiment, the aberration of the background colour in pending image and word segment is increased, is conducive to obtain text
The image of character segment.
Optionally, as one embodiment of the present of invention, word graph is extracted in the pending image after adjustment
As specifically including:Word segment is carried out from the pending image after adjustment to retouch side processing, text profile is obtained, according to word
Contours extract goes out character image.
Optionally, it is described that the character image extracted is converted into corresponding word as one embodiment of the present of invention
Symbol specifically includes:Matched, obtained matched with the character image in default literal pool according to the character image extracted
Character image, corresponding letter symbol is obtained by the character image matched.
In above-described embodiment, the character image plucked out is matched with the character image to prestore, then by matching
Character image obtains corresponding letter symbol.
Reader should be understood that in the description of this specification, reference term " one embodiment ", " some embodiments ", " show
The description of example ", " specific example " or " some examples " etc. mean to combine the specific features of the embodiment or example description, structure,
Material or feature are contained at least one embodiment of the present invention or example.In the present specification, above-mentioned term is shown
The statement of meaning property need not be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the different embodiments or example described in this specification and different embodiments or exemplary spy
Sign is combined and combines.
It is apparent to those skilled in the art that for convenience of description and succinctly, the dress of foregoing description
The specific work process with unit is put, may be referred to the corresponding process in preceding method embodiment, details are not described herein.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
It is that unit is individually physically present or two or more units integrate in a unit.It is above-mentioned integrated
Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can
To be stored in a computer read/write memory medium.Based on such understanding, technical scheme substantially or
Say that the part to contribute to the prior art, or all or part of the technical solution can be embodied in the form of software product
Out, which is stored in a storage medium, including some instructions are used so that a computer equipment
(can be personal computer, server, or network equipment etc.) performs all or part of each embodiment method of the present invention
Step.And foregoing storage medium includes:It is USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), random
Access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with Jie of store program codes
Matter.
More than, it is only embodiment of the invention, but protection scope of the present invention is not limited thereto, and it is any to be familiar with
Those skilled in the art the invention discloses technical scope in, various equivalent modifications or substitutions can be readily occurred in,
These modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be wanted with right
Subject to the protection domain asked.
Claims (8)
- A kind of 1. Word Input system, it is characterised in that including:Scan module, for the background picture with word to be scanned, obtains pending image;First extraction module, for extracting the first color value and the first brightness value of pending image entirety, and is extracted pending The second color value and the second brightness value of word segment in image;Adjust module, for according to pre-set color value respectively in the first color value and pending image of pending image entirety The second color value of word segment is adjusted, and increases the difference of the first color value and the second color value, and according to predetermined luminance value The second brightness value of word segment is adjusted in the first brightness value and pending image to pending image entirety, increases first The difference of brightness value and the second brightness value;Second extraction module, for extracting character image from the pending image after adjustment;Modular converter, for the character image extracted to be converted to corresponding letter symbol.
- 2. a kind of Word Input system according to claim 1, it is characterised in that the adjustment module is specifically used for, will First color value subtracts pre-set color and is worth to the first new color value, the second color value is worth to plus pre-set color new Second color value, is adjusted pending image according to the first new color value and the second new color value;First brightness value is subtracted into predetermined luminance and is worth to the first new brightness value, the second brightness value is worth plus predetermined luminance To the second new brightness value, pending image is adjusted according to the first new brightness value and the second new brightness value.
- 3. a kind of Word Input system according to claim 1, it is characterised in that second extraction module is specifically used In to word segment retouch side processing from the pending image after adjustment, obtain text profile, extracted according to text profile Go out character image.
- 4. a kind of Word Input system according to claim 3, it is characterised in that the modular converter is specifically used for, root Matched according to the character image extracted with the character image in default literal pool, obtain matched character image, by The character image being fitted on obtains corresponding letter symbol.
- A kind of 5. text extraction method, it is characterised in that including:Background picture with word is scanned, obtains pending image;The first color value and the first brightness value of pending image entirety are extracted, and extracts of word segment in pending image Second colors value and the second brightness value;According to word segment second in pre-set color value respectively the first color value to pending image entirety and pending image Color value is adjusted, and increases the difference of the first color value and the second color value, and according to predetermined luminance value to pending image The second brightness value of word segment is adjusted in the first overall brightness value and pending image, increases the first brightness value and second The difference of brightness value;Character image is extracted from the pending image after adjustment;The character image extracted is converted into corresponding letter symbol.
- 6. a kind of text extraction method according to claim 5, it is characterised in that described right respectively according to pre-set color value First color value and the second color value are adjusted, and the first brightness value and the second brightness value are adjusted according to predetermined luminance value It is whole to specifically include:First color value is subtracted into pre-set color and is worth to the first new color value, the second color value is worth plus pre-set color To the second new color value, pending image is adjusted according to the first new color value and the second new color value;First brightness value is subtracted into predetermined luminance and is worth to the first new brightness value, the second brightness value is worth plus predetermined luminance To the second new brightness value, pending image is adjusted according to the first new brightness value and the second new brightness value.
- A kind of 7. text extraction method according to claim 5, it is characterised in that the pending image after adjustment In extract character image and specifically include:Word segment is carried out from the pending image after adjustment to retouch side processing, obtains text Character wheel is wide, and character image is extracted according to text profile.
- 8. a kind of text extraction method according to claim 7, it is characterised in that described to turn the character image extracted Corresponding letter symbol is changed to specifically include:According to the character image extracted and the character image progress in default literal pool Match somebody with somebody, obtain matched character image, corresponding letter symbol is obtained by the character image matched.
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