CN114266267A - Automatic identification method and device for collecting two-dimensional codes, documents, certificates and human faces and storage medium - Google Patents
Automatic identification method and device for collecting two-dimensional codes, documents, certificates and human faces and storage medium Download PDFInfo
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Abstract
The invention relates to a method, a device and a storage medium for automatically identifying a set of two-dimensional codes, documents, certificates and faces, wherein the method comprises the steps of acquiring a picture to be identified; performing two-dimension code identification, if the two-dimension code is identified, analyzing the two-dimension code, packaging after obtaining a two-dimension code analysis result, and marking as a two-dimension code type; otherwise, respectively trying certificate information analysis and text information analysis, if a certificate information analysis result is obtained, packaging and marking as a certificate type, if a text information analysis result is obtained, packaging and marking as a document type, if the text information analysis result is obtained, carrying out face recognition, if the face recognition is successful, obtaining face recognition information to carry out face matching, obtaining a matching result and marking as a face type, and if the face recognition is failed, marking as an unrecognizable type. The invention realizes the automatic classification and extraction of the content, so as to realize the identification and extraction operation of information by a unified entrance, thereby obtaining better user experience effect.
Description
Technical Field
The invention belongs to the technical field of automatic identification, and particularly relates to an automatic identification method, device and storage medium for collecting two-dimensional codes, documents, certificates and faces.
Background
At present, a two-dimensional code recognition technology and a text certificate recognition technology are mature, and the applied scenes are wide, for example, a face can be brushed on an entrance guard gate, and a code can also be swept. However, the existing technologies can only identify the two-dimension code, the document, the certificate and the face information individually, and there is no software or technology integrating the two-dimension code, the document, the certificate and the face, and there is no technology that can automatically identify these categories and extract the content. Therefore, in these cases, the user is required to manually select and identify which type, apply different software or methods with different technologies, and then perform a series of operations on the type selected by the user, which is not good for the user experience. In recent years, although there are many patents for recognizing text and two-dimensional codes, the recognition breadth is not generally considered, only single recognition can be realized, and information acquisition is more fragmented. Therefore, it is necessary to design a method for uniformly extracting picture contents, so as to obtain better user experience.
Disclosure of Invention
The embodiment of the invention provides an automatic identification method, device and storage medium for collecting two-dimensional codes, documents, certificates and faces, which can realize automatic classification and content extraction, realize the identification and extraction operation of information by a unified entry and further obtain better user experience effect.
The technical scheme of the invention is realized as follows: the invention discloses an automatic identification method for integrating two-dimension codes, documents, certificates and human faces, which comprises the following steps:
step 1, obtaining a picture to be identified;
step 2, identifying the two-dimension code, if the two-dimension code is identified as the two-dimension code, analyzing the two-dimension code, packaging after obtaining a two-dimension code analysis result, and marking the two-dimension code as a two-dimension code type; otherwise, executing step 3;
step 3, respectively trying certificate information analysis and character information analysis, if a certificate information analysis result is obtained, packaging and marking as a certificate type, if a character information analysis result is obtained, packaging and marking as a document type, and if the certificate information analysis result cannot be identified, executing step 4;
and 4, carrying out face recognition, if the face recognition is successful, obtaining face recognition information to carry out face matching, obtaining a matching result and marking the matching result as a face type, and if the face recognition is failed, marking the matching result as a type which cannot be recognized.
And further, after the identification information and the identification type are obtained, carrying out the next business operation.
Further, there are two types of pictures to be identified, one is to directly take a picture source file (including but not limited to pictures in an album and pictures pushed by a server) provided by the server; another automatic acquisition is to call a camera to acquire a picture and a binary stream of a certain frame.
Further, step 2 specifically includes: calling zxing to identify the picture to be identified, intercepting by using try/catch during identification, if no exception exists, taking the result, analyzing and returning the result, marking the picture type as a two-dimensional code picture, if the result is intercepted, indicating that the picture is not the two-dimensional code picture, and executing the step 3.
Further, step 3 specifically includes: distinguishing certificate information identification and character information identification by different ports, calling ocr to judge information, sending different requests through different ports, respectively trying certificate information analysis and character information analysis, if a certificate information analysis result is obtained, packaging and marking as a certificate type, if a character information analysis result is obtained, packaging and marking as a document type, and if the character information analysis result cannot be identified, executing the step 4.
Further, step 3 specifically includes: converting the picture to be identified into binary stream data, and uploading the binary stream data to a server for document and certificate identification processing; receiving a processing result returned by the server, performing json analysis on the processing result, taking processed data, inquiring an interface identified by certificate information, analyzing and extracting information if correct json format data is obtained, loading the information into a specific object, and setting attributes as certificate pictures; if the data format is not correct, inquiring a character information identification interface, if the correct json format data is obtained, analyzing and extracting information, loading the information into a specific object, and setting the attribute as a document picture; if the data format is not yet correct step 4 is performed.
Further, step 4 specifically includes: and when the face is identified, judging whether the face information is the face information, if not, the face identification fails, marking the face information as a type which cannot be identified, if so, inquiring similar faces in a face database according to the face information to carry out face matching, if the matching is successful, returning matching information, if the matching is unsuccessful, returning no-matching information, and storing the face information in the face database.
The invention also discloses a storage medium, on which a computer program is stored, wherein the computer program realizes the steps of the automatic identification method for collecting the two-dimension codes, the documents, the certificates and the human faces when being executed by a processor.
The invention also discloses an automatic identification device for integrating the two-dimension codes, the documents, the certificates and the human faces, which comprises the following components: a processor and a memory for storing a computer program capable of running on the processor, wherein the processor is configured to execute the steps of the method for automatic recognition of a set of two-dimensional codes, documents, certificates, faces as described above when running the computer program.
The invention has at least the following beneficial effects:
the scheme of the invention realizes the identification and extraction operation of information by unifying the entries, and has the following advantages:
1. and a uniform entrance is used for information identification, so that the labor cost is saved, and the user experience is also improved.
2. When multi-step operation is needed, the unified entry is more convenient, for example, the certificate is matched with the face of a person, the needed information is more conveniently taken for the next operation, the information is identified and extracted through the unified entry, and therefore a better user experience effect is obtained.
3. Two modes of pictures and cameras are supported.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic frame flowchart of a method for automatically identifying a set of two-dimensional codes, documents, certificates and faces according to an embodiment of the present invention;
fig. 2 is a specific flowchart of an automatic identification method for collecting two-dimensional codes, documents, certificates, and faces according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1 and fig. 2, an embodiment of the present invention discloses an automatic identification method for collecting two-dimensional codes, documents, certificates, and faces, including the following steps:
step 1, acquiring a picture to be identified through a terminal unified entrance;
step 2, identifying the two-dimension code, if the two-dimension code is identified as the two-dimension code, analyzing the two-dimension code, packaging after obtaining a two-dimension code analysis result, and marking the two-dimension code as a two-dimension code type; otherwise, executing step 3;
step 3, respectively trying certificate information analysis and character information analysis, if a certificate information analysis result is obtained, packaging and marking as a certificate type, if a character information analysis result is obtained, packaging and marking as a document type, and if the certificate information analysis result cannot be identified, executing step 4;
and 4, if the three types are not satisfied, carrying out face recognition, if the face recognition is successful, carrying out a series of complex conversion on the extracted content and marking the extracted content as a face type, and if the face recognition is failed, marking the extracted content as a type which cannot be recognized.
And further, after the identification information and the identification type are obtained, carrying out the next business operation.
The method includes the steps of obtaining a picture to be identified through a unified entry, and specifically includes: directly taking a picture file given by the use scene (including a picture passed down by the server, a picture opened by calling an album, a picture shot by calling a camera, and the like) or calling the camera to scan to acquire an image of a certain frame.
Further, step 2 specifically includes: calling zxing to identify the picture to be identified, intercepting by using try/catch during identification, if no exception exists, taking the result, analyzing and returning the result, marking the picture type as a two-dimensional code picture, if the result is intercepted, indicating that the picture is not the two-dimensional code picture, and executing the step 3.
The two-dimensional code identification technology used by the invention is a zxing library, the zxing library is integrated in an app, the ScannerAactivity class in the library is rewritten for self-defining, the functions and the methods in the library are multiplexed, a file manager is opened to take pictures or a camera is called to obtain a certain frame to take a picture stream, then a scanning interface is called to obtain returned data, and abnormity is captured. If normal returned data exist, the data are taken, analysis is carried out according to a self-defined analysis rule, a common two-dimensional code can be analyzed, a two-dimensional code with a specific rule can be generated by an analysis system, a final result is taken, the two-dimensional code is loaded into an object, and the attribute is set as a two-dimensional code picture; if no normal return value exists, the captured abnormity is thrown out to represent that the picture is not a two-dimensional code picture, and the next type of judgment operation is carried out. Note: the two-dimensional code generated by the system encapsulates data according to a specific rule, and then a two-dimensional code generation interface is called.
Further, step 3 specifically includes: distinguishing certificate information identification and character information identification by different ports, calling ocr to judge information, sending different requests through different ports, respectively trying certificate information analysis and character information analysis, if a certificate information analysis result is obtained, packaging and marking as a certificate type, if a character information analysis result is obtained, packaging and marking as a document type, and if the character information analysis result cannot be identified, executing the step 4.
Calling ocr to judge information, needing to set up special server to distinguish certificate information identification and character information identification with different ports, convenient to call and return uniformly.
Further, step 3 specifically includes: in the first step of identifying the two-dimensional code, if abnormity is caught, converting the picture to be identified into binary stream data, if the stream is directly taken, uploading the stream to a server which is set up in a matching way to identify and process documents and certificates; receiving a processing result returned by the server, performing json analysis on the processing result, taking processed data, inquiring an interface identified by certificate information, analyzing and extracting information if correct json format data is obtained, loading the information into a specific object, and setting attributes as certificate pictures; if the data format is not correct, inquiring a character information identification interface, if the correct json format data is obtained, analyzing and extracting information, loading the information into a specific object, and setting the attribute as a document picture; and if the data format is not the same, executing the step 4 to perform face recognition.
Further, step 4 specifically includes: and when the face is identified, judging whether the face information is the face information, if not, the face identification fails, marking the face information as a type which cannot be identified, if so, inquiring similar faces in a face database according to the face information to carry out face matching, if the matching is successful, returning matching information, if the matching is unsuccessful, returning no-matching information, and storing the face information in the face database.
Further, step 4 uses iris soft for face recognition: the method is divided into two types, one is face picture detection, and the other is living face detection.
The living human face detection comprises six steps:
face detection: detecting the position of a human face and locking the coordinates of the human face;
face tracking: accurately positioning and tracking the position of the face area;
thirdly, face query: searching similar faces in a face library;
fourthly, comparing the faces: comparing the similarity of the two faces;
the face attribute: detecting attributes such as gender, age and the like of the human face;
sixthly, detecting the living body: and detecting whether the person is a real person or not, and preventing malicious attack.
The face picture detection is divided into three steps:
firstly, human face query: searching similar faces in a face library;
face comparison: comparing the similarity of the two faces;
attributes of the face: and detecting attributes such as gender, age and the like of the human face.
In any case, whether the information is the face information or not is obtained, if the information is the face information and matching exists, a matching result is directly returned, if the information is the face information but no matching result exists, no matching information exists, the face information is stored in the database, and if the information is not the face information, no error information of the face is returned, and the next processing operation is carried out. If an error occurs in the recognition process, calling detection to perform re-recognition operation, and returning error information of the non-human face after more than ten recognition errors.
Example two
The invention also discloses a storage medium on which a computer program is stored which, when being executed by a processor, carries out the method steps according to the first embodiment.
EXAMPLE III
The invention also discloses an automatic identification device for integrating the two-dimension codes, the documents, the certificates and the human faces, which comprises the following components: a processor and a memory for storing a computer program capable of running on the processor, wherein the processor is configured to perform the method steps according to embodiment one when running the computer program.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. Of course, the processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. An automatic identification method for collecting two-dimensional codes, documents, certificates and human faces is characterized by comprising the following steps:
step 1, obtaining a picture to be identified;
step 2, identifying the two-dimension code, if the two-dimension code is identified as the two-dimension code, analyzing the two-dimension code, packaging after obtaining a two-dimension code analysis result, and marking the two-dimension code as a two-dimension code type; otherwise, executing step 3;
step 3, respectively trying certificate information analysis and character information analysis, if a certificate information analysis result is obtained, packaging and marking as a certificate type, if a character information analysis result is obtained, packaging and marking as a document type, and if the certificate information analysis result cannot be identified, executing step 4;
and 4, carrying out face recognition, if the face recognition is successful, obtaining face recognition information to carry out face matching, obtaining a matching result and marking the matching result as a face type, and if the face recognition is failed, marking the matching result as a type which cannot be recognized.
2. The method for automatically recognizing a set of two-dimensional codes, documents, certificates and faces according to claim 1, wherein the method comprises the following steps: and after the identification information and the identification type are obtained, carrying out the next business operation.
3. The method for automatically recognizing a set of two-dimensional codes, documents, certificates and faces according to claim 1, wherein the method comprises the following steps: the step 2 specifically comprises the following steps: calling zxing to identify the picture to be identified, intercepting by using try/catch during identification, if no exception exists, taking the result, analyzing and returning the result, marking the picture type as a two-dimensional code picture, if the result is intercepted, indicating that the picture is not the two-dimensional code picture, and executing the step 3.
4. The method for automatically recognizing a set of two-dimensional codes, documents, certificates and faces according to claim 1, wherein the method comprises the following steps: the step 3 specifically comprises the following steps: distinguishing certificate information identification and character information identification by different ports, calling ocr to judge information, sending different requests through different ports, respectively trying certificate information analysis and character information analysis, if a certificate information analysis result is obtained, packaging and marking as a certificate type, if a character information analysis result is obtained, packaging and marking as a document type, and if the character information analysis result cannot be identified, executing the step 4.
5. The method for automatically recognizing a set of two-dimensional codes, documents, certificates and faces according to claim 4, wherein the method comprises the following steps: the step 3 specifically comprises the following steps: converting the picture to be identified into binary stream data, and uploading the binary stream data to a server for document and certificate identification processing; receiving a processing result returned by the server, performing json analysis on the processing result, taking processed data, inquiring an interface identified by certificate information, analyzing and extracting information if correct json format data is obtained, loading the information into a specific object, and setting attributes as certificate pictures; if the data format is not correct, inquiring a character information identification interface, if the correct json format data is obtained, analyzing and extracting information, loading the information into a specific object, and setting the attribute as a document picture; if the data format is not yet correct step 4 is performed.
6. The method for automatically recognizing a set of two-dimensional codes, documents, certificates and faces according to claim 1, wherein the method comprises the following steps: the step 4 specifically comprises the following steps: and when the face is identified, judging whether the face information is the face information, if not, the face identification fails, marking the face information as a type which cannot be identified, if so, inquiring similar faces in a face database according to the face information to carry out face matching, if the matching is successful, returning matching information, if the matching is unsuccessful, returning no-matching information, and storing the face information in the face database.
7. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, implementing the steps of the method of any one of claims 1 to 6.
8. The utility model provides an automatic identification equipment of set two-dimensional code, document, certificate, people's face which characterized in that includes: a processor and a memory for storing a computer program operable on the processor, wherein the processor is operable to perform the steps of the method of any of claims 1 to 6 when the computer program is executed.
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