CN111062270A - Automatic identification system and method for customs clearance face, fingerprint and identity card - Google Patents
Automatic identification system and method for customs clearance face, fingerprint and identity card Download PDFInfo
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Abstract
The invention provides a customs face, fingerprint and identity card automatic authentication system and a method thereof, wherein the customs face, fingerprint and identity card automatic authentication system comprises: the equipment management module is used for loading the equipment library plug-ins to form an equipment plug-in list; the fingerprint module collects fingerprint information and matches the fingerprint information through the equipment library management module; the face module is used for collecting a face picture and matching the face picture through the equipment library management module; the identity card module is used for acquiring identity card information and matching the identity card information through the equipment management module; the clearance authentication module is used for providing a data interface for the clearance system and realizing the acquisition of the comparison result; the equipment management module realizes equipment integration and interface calling by editing project engineering codes through a dynamic link library. The invention effectively improves the informatization operation level, improves the safety reliability, the integration level and the automation degree of the information, and improves the work efficiency of customs clearance authentication.
Description
Technical Field
The invention relates to an automatic authentication system, in particular to an automatic authentication system for a customs face, a fingerprint and an identity card with high integration level and automation degree, and also relates to an automatic authentication method applied to the automatic authentication system for the customs face, the fingerprint and the identity card.
Background
In the existing customs clearance process, the identity verification process of customs declaration personnel is mainly completed by means of human eye identification of customs clearance personnel, whether the appearance of the customs declaration personnel and an identity card photo are the same person or not is judged through human eyes, and in the process of manual comparison, the comparison efficiency is often very low, and mistakes and omissions are easy to occur.
In the existing customs clearance business process, electronic authentication of the identity and authority of customs clearance personnel is realized by issuing an IC card to the customs clearance personnel, but identity authentication loopholes caused by the interchange of the IC card of the customs clearance personnel cannot be solved. In addition, in the existing clearance service system, there is a way to realize identity authentication and authority assignment of declaration personnel of the service system by registering a user name and a password of an operator for the declaration personnel, but the problem of identity consistency between a user operator and a registered person caused by leakage of the user name and the password cannot be solved.
In the business process, RFID wireless radio frequency identification card data acquisition, a TypeB non-contact IC card reading technology is adopted for the second-generation identification card, and a security control module (sam) of the identification card authorized by the ministry of public security is matched to acquire personal information data in the second-generation identification card in a wireless radio frequency mode; in the clearance process, the customs officer determines the identity of the clearance personnel by comparing the identity card of the clearance personnel with the actual user and verifies the clearance authority of the clearance personnel.
Disclosure of Invention
The invention aims to solve the technical problem of providing an automatic identification system for a customs face, a fingerprint and an identity card, which is safe and reliable and has high integration level and automation degree, and further providing an automatic identification method applied to the automatic identification system for the customs face, the fingerprint and the identity card.
To this end, the present invention provides an automatic identification system for customs face, fingerprint and identification card, comprising:
the equipment management module is used for loading equipment library plug-ins, forming an equipment plug-in list and acquiring an equipment characteristic data list of the existing equipment library;
the fingerprint module collects fingerprint information through fingerprint identification equipment and matches the fingerprint information through the characteristic data in the equipment management module;
the face module acquires a face picture through a camera and matches the face picture through the feature data in the equipment library management module;
the identity card module acquires identity card information through an identity card reader and matches the identity card information through the characteristic data in the equipment library management module;
the customs identification module is used for providing a data interface for a customs system and realizing the acquisition of the comparison result of the customs system on the fingerprint picture, the face picture and the identity card information;
the equipment management module realizes equipment integration and interface calling by editing project engineering codes through a dynamic link library.
The invention is further improved in that the process of editing project engineering codes to realize device integration comprises the following steps:
step S1, opening project engineering, and filling manufacturer and equipment information in the project engineering code function;
step S2, initializing the API interface of the factory equipment by importing the factory equipment function;
step S3, calling a manufacturer API to read data and formatting the read data;
and step S4, calling the factory API interface to finish the operation.
In a further improvement of the present invention, in step S1, the manufacturer and device information is filled and the device unique ID value is added to the device type list of the device basic information.
A further improvement of the present invention is that in said step S2, when a new error code needs to be added, an error code value is added to the device error code list of the device basic information.
In a further improvement of the present invention, in step S3, the read data is formatted into a JSON format child object, and then the main program packages the JSON format child object again.
A further refinement of the invention is characterized in that the process of editing the project engineering code implementation interface call comprises the steps of:
step A1, when the equipment information is called, the equipment name, manufacturer, model and version information are obtained;
step A2, initializing the device when the service is started;
step A3, shutting down the device when the service is closed;
step A4, obtaining the last error code and error record when error occurs;
step a5, reading data when a read data request is received;
step a6, writing data when new data is received;
step A7, when fingerprint feature code, face feature code or ID card information is read, the feature data in the equipment base management module is called to match.
In a further development of the invention, in step a2, the initialization device comprises the following sub-steps:
step A21, the automatic equipment controls the loading process of the plug-in, which is used for realizing automatic identification from the equipment plug-in library and loading fingerprint, face identification and identity card equipment;
step A22, automating a self-checking process of the equipment state, and realizing the automatic detection of the equipment state;
step A23, automatically recovering the abnormal state of the equipment, which is used for realizing the automatic recovery work of the abnormal state of the equipment;
step A24, providing automatic plug-in matching of the face recognition device by the device plug-in library;
step A25, the equipment plug-in library realizes the automatic plug-in matching of the fingerprint acquisition equipment;
and step A26, the equipment plug-in library realizes the automatic plug-in matching of the identity card acquisition equipment.
The invention is further improved in that the system comprises a standard interface service layer, an equipment plug-in driving layer and an equipment layer, wherein the standard interface service layer comprises a face recognition interface, an identity card recognition interface and a fingerprint recognition interface, the equipment plug-in driving layer comprises a camera plug-in driving, an identity card reader plug-in driving and a fingerprint recognition instrument plug-in driving, the equipment layer comprises a camera, an identity card reader and a fingerprint recognition instrument, the camera is connected to the face recognition interface through the camera plug-in driving, the identity card reader is connected to the identity card recognition interface through the identity card reader plug-in driving, and the fingerprint recognition instrument is connected to the fingerprint recognition interface through the fingerprint recognition instrument plug-in driving.
The invention also provides a method for automatically authenticating the face, the fingerprint and the identity card of the customs department, which is characterized by being applied to the system for automatically authenticating the face, the fingerprint and the identity card of the customs department and comprising the following steps:
step B1, after the system is started, acquiring customs clearance information, comparing the characteristic data, jumping to step B2 if the comparison is passed, and otherwise, returning to continuously acquire customs clearance information;
and step B2, sending the identity card information, the fingerprint information and the face picture of the customs clearance personnel to a customs clearance system for registration, feeding back the success of authentication and ending the authentication process of the customs clearance personnel.
In a further improvement of the present invention, in the step B1, the process of collecting the information of the customs clearance and comparing the characteristics includes the following substeps:
step B11, collecting the identity card information of the customs clearance personnel;
step B12, sending the ID card information to a customs clearance system, and reading fingerprint characteristic data and face characteristic data registered by the customs clearance personnel;
step B13, collecting the fingerprint information of the customs clearance personnel;
step B14, the collected fingerprint information is matched with the registered fingerprint characteristic data, if the collected fingerprint information passes the registered fingerprint characteristic data, the step B15 is skipped, otherwise, the step B11 is returned;
and B15, acquiring the face pictures of the customs clearance personnel, sending the acquired face pictures to a customs clearance system to be compared with the registered face images, jumping to the step B2 if the comparison is passed, and otherwise, returning to the step B11.
Compared with the prior art, the invention has the beneficial effects that: the method integrates face identification, fingerprint comparison and identity card information reading into a customs link by editing project engineering codes through a dynamic link library, solves the problems of low efficiency, high error and the like caused by the fact that the human eyes of customs personnel are required to compare the identity information of the customs personnel in the prior art, uses an information technology and means to compare the face, the fingerprint and the identity card information of the customs personnel through a mode of comparison after registration, improves the information operation level, can also reduce the subjective judgment participation degree of the customs personnel, improves the safety reliability, the integration degree and the automation degree of the customs personnel, and improves the working efficiency of customs certification.
Drawings
FIG. 1 is a system architecture diagram of an embodiment of the present invention;
FIG. 2 is a schematic workflow diagram of one embodiment of the present invention;
fig. 3 is a detailed work flow diagram of an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in further detail below with reference to the accompanying drawings:
this example provides a customs face, fingerprint and ID card automatic authentication system, including:
the equipment management module is used for loading equipment library plug-ins, forming an equipment plug-in list and acquiring an equipment characteristic data list of the existing equipment library;
the fingerprint module collects fingerprint information through fingerprint identification equipment and matches the fingerprint information through the characteristic data in the equipment management module;
the face module acquires a face picture through a camera and matches the face picture through the feature data in the equipment library management module;
the identity card module acquires identity card information through an identity card reader and matches the identity card information through the characteristic data in the equipment library management module;
the customs identification module is used for providing a data interface for a customs system and realizing the acquisition of the comparison result of the customs system on the fingerprint picture, the face picture and the identity card information;
the equipment management module realizes equipment integration and interface calling by editing project engineering codes through a dynamic link library.
As shown in fig. 1, this example preferably includes a standard interface service layer, a device plug-in drive layer and a device layer, the standard interface service layer includes a face recognition interface, an identification card recognition interface and a fingerprint recognition interface, the device plug-in drive layer includes a camera plug-in drive, an identification card reader plug-in drive and a fingerprint recognition instrument plug-in drive, the device layer includes a camera, an identification card reader and a fingerprint recognition instrument, the camera passes through the camera plug-in drive is connected to the face recognition interface, the identification card reader passes through the identification card reader plug-in drive is connected to the identification card recognition interface, the fingerprint recognition instrument passes through the fingerprint recognition instrument plug-in drive is connected to the fingerprint recognition interface. The characteristic data in the equipment library management module refers to characteristic data included in fingerprint information, a face picture and identity card information, and specifically includes fingerprint characteristic data, face characteristic data, identity card characteristic data and the like; the fingerprint feature data comprises fingerprint features such as a pattern, a pattern area, a core point, a triangular point and the like; the face feature data comprises feature components of feature points such as mouth, nose and eyes, and further comprises Euclidean distances, curvatures, angles and the like among the feature points; the identity card characteristic data comprises characteristic data such as name, ethnicity, native place, year and month of birth, home address, validity period of the identity card and the like.
The equipment layer comprises data acquisition hardware equipment such as a camera, an identity card reader, a fingerprint identification instrument and the like, and the fingerprint identification equipment comprises fingerprint acquisition and identification equipment such as a fingerprint identification instrument and the like; the equipment plug-in driving layer is provided in the form of a DLL dynamic link library in the automatic authentication system aiming at equipment plug-ins realized by different manufacturers, brands and types, and the data communication and equipment integration operation with the acquisition hardware equipment are realized by the DLL dynamic link library; the standard interface service layer comprises a face recognition interface, an identity card interface and a fingerprint recognition interface which are used for calling the interfaces in a unified mode.
The equipment management module automatically loads equipment library plug-ins to form an equipment plug-in list and acquires an equipment characteristic data list of the existing equipment library; automatically scanning a USB port of a computer, acquiring characteristic data of hardware equipment externally connected with the computer, matching equipment library plug-ins according to the characteristic data of the equipment, and performing equipment initialization and self-checking work according to a general interface after the matching is successful.
The fingerprint module in this example matches the fingerprint picture collected by the fingerprint recognizer with the feature data in the database management module. The fingerprint module identifies the characteristic points according to a fingerprint characteristic point coordinate system, and stores characteristic point data values, wherein the fingerprint characteristic data corresponding to the fingerprint picture comprise a pattern, a pattern area, core points, triangular points and the like. The fingerprint module obtains a comparison quality value by comparing the fingerprint characteristic data, and judges whether the fingerprint comparison is passed or not according to a preset fingerprint comparison quality value.
The fingerprint comparison comprises fingerprint image processing, pattern extraction processing, feature extraction and matching identification. The fingerprint image processing is to scan a finger by adopting penetrating light to form a fingerprint image with clear brightness, and automatically calculate and adjust parameters to obtain the fingerprint image; the pattern extraction processing is to perform area detection on the fingerprint image, perform direction estimation and image binarization, and extract pattern data of the fingerprint; the characteristic extraction and matching identification is to extract the image characteristics of the fingerprint into a characteristic data form, compare the image characteristics with the stored characteristic data template, and judge whether the matching is successful according to a reasonable fingerprint characteristic data threshold value, wherein the fingerprint characteristic data threshold value is an empirical value obtained by comparison test by adopting a large amount of fingerprint data, and can be preset in advance and modified according to actual conditions.
In this example, the face module acquires a face image through a camera on the feature data matching of the device library management module. The face module automatically detects the acquisition quality of face pictures, carries out contour positioning through positions such as mouth, nose and eyes, and extracts characteristic components including Euclidean distance, curvature, angle and the like among characteristic points. The face module comparison is to judge whether the comparison is passed according to the similarity of the feature points and a preset similarity threshold.
The face recognition comprises the following steps: the method comprises the steps of face image acquisition and detection, face image preprocessing, face image feature extraction, matching and identification. The face image acquisition is to snap a face image by adopting a camera; the face detection is used for preprocessing a face picture and calibrating the position and size of a face; the face image preprocessing comprises the steps of carrying out gray level transformation, histogram equalization, filtering and the like on an image based on a face detection result; the face image feature extraction is to extract feature information such as visual features, pixel statistical features, face image transformation coefficient features, face image algebraic features and the like, and carry out face feature modeling; the face matching and identification is to compare the extracted face image feature data with a feature template stored in a database, and judge whether the matching is successful according to a reasonable face feature data threshold, wherein the face feature data threshold is an empirical value obtained by performing a comparison test by using a large amount of face data, and can be preset in advance and modified according to actual conditions.
The identity card module collects identity card information through an identity card reader matched with the feature data of the equipment base management module. In the embodiment, the face characteristic data and the fingerprint characteristic data are compared with the face characteristic and the fingerprint characteristic on the identity card through the testimony matching, and whether the testimony is consistent or not is judged.
The device integration providing mode of the embodiment is preferably that the device plug-in is provided to the device library in the form of a windows operating system DLL, a user can develop the device plug-in DLL conforming to the interface by himself, and the device library supports the device plug-in conforming to the interface requirement. The development tools for design integration are preferably developed by Visual C + +2013 and Visual C + +2015, and the development tools need to be installed first. The browser requires that Chrome54 and above versions are preferably supported, and web mode access is supported.
The process for editing project engineering codes to realize equipment integration comprises the following steps:
step S1, opening the project, preferably also opening basic information of the equipment (e.g., devbase. h) to derive an equipment plug-in class CDevIdentity (i.e., devidentity. cpp), and filling the manufacturer and equipment information in the code function of the project (e.g., GetDevInfo () function, i.e., get equipment information function);
step S2, initialize the API interface of the factory device by importing the factory device function, such as importing the function in the factory device dll in the InitDev () function for initialization, etc.;
step S3, calling a manufacturer API to read data and formatting the read data;
step S4, call factory API interface end operation, such as calling factory API interface end operation at CloseDev ().
In step S1 described in this example, the device unique ID value (e.g., dif.devid value) is added to the device TYPE list (e.g., enum DEV TYPE) of the device basic information (e.g., devbase.h) while populating the vendor and device information.
In step S2, when a new error code needs to be added, an error code value (e.g., m _ nrercode value) is added to the device error code list (e.g., enum DEV _ error) of the device basic information (e.g., devbase.h).
In step S3, the ReadData () calls the factory API interface to read the data and format the data into JSON, TEXT and/or XML, in this example, the JSON format is preferably adopted, that is, the read data is preferably formatted into a JSON format child object, and then the main program packages the JSON format child object again.
The process for realizing interface calling by editing project engineering codes comprises the following steps:
step A1, when the equipment information is called, the equipment name, manufacturer, model and version information are obtained;
step A2, initializing the device when the service is started;
step A3, shutting down the device when the service is closed;
step A4, obtaining the last error code and error record when error occurs;
step a5, reading data when a read data request is received;
step a6, writing data when new data is received;
step A7, when fingerprint feature code, face feature code or ID card information is read, the feature data in the equipment base management module is called to match.
That is, when developing a device dll, this example is developed according to the unified base class interface specification defined by common/DevBase.h. The detailed process is as follows:
obtaining device name, manufacturer, model, version information, each dynamic library must provide
V/get DLL device related information
virtual void GetDevInfo(DevInfo&dif)＝0；
V/initialization apparatus
// unified invocation at service Start
virtual bool InitDev()＝0；
// shut down device
// unified invocation at service shutdown
virtual bool CloseDev()＝0；
// obtaining the last error code
// Call on error
virtual int GetLastErrCode(){return m_nErrCode；}；
Function// function: read data (JSON format)
V/browser calls when requesting to read data
virtual int ReadData(int nType,char*pBuffer,int nBufLen,intnReadTimeOut＝30000,DATA_TYPE dType＝DT_JSON)＝0；
Function// function: writing data
virtual int WriteData(int nType,char*pBuffer,int nBufLen,intnReadTimeOut＝30000){return 0；}；
Functional fingerprint comparison
V/reading fingerprint feature code and calling when comparing
virtual int Match(int nType,char*pFeature,char*pTemplet,int nLevel＝3){return0；}；
virtual int Fun1(int,void*,int,void*){return 0；}；
virtual int Fun2(int,int&,void*,void**){return 0；}；
The unified interface adjustment flow of the embodiment is as follows:
service initiation ≧ service initiation
Initialization equipment DLL (initDev/GetDevInfo)
Respond to browser request (ReadData/WriteData/Match/GetLastErrcode)
Closed equipment DLL (CloseDev)
Close service ═
The device plug-in test process of the embodiment is as follows: and copying the equipment plug-in to an equipment library, and initializing to test after receiving the equipment. If the function test is passed, the device plug-in development is not problematic.
In step a2 in this example, the initialization device comprises the following sub-steps:
step A21, the automatic equipment controls the loading process of the plug-in, which is used for realizing automatic identification from the equipment plug-in library and loading fingerprint, face identification and identity card equipment;
step A22, automating a self-checking process of the equipment state, and realizing the automatic detection of the equipment state;
step A23, automatically recovering the abnormal state of the equipment, which is used for realizing the automatic recovery work of the abnormal state of the equipment;
step A24, providing automatic plug-in matching of the face recognition device by the device plug-in library;
step A25, the equipment plug-in library realizes the automatic plug-in matching of the fingerprint acquisition equipment;
and step A26, the equipment plug-in library realizes the automatic plug-in matching of the identity card acquisition equipment.
As shown in fig. 2, this example also provides an automatic identification method for a customs face, a fingerprint and an identity card, which is applied to the automatic identification system for a customs face, a fingerprint and an identity card, and includes the following steps:
step B1, after the system is started, acquiring customs clearance information, comparing the characteristic data, jumping to step B2 if the comparison is passed, and otherwise, returning to continuously acquire customs clearance information;
and step B2, sending the identity card information, the fingerprint information and the face picture of the customs clearance personnel to a customs clearance system for registration, feeding back the success of authentication and ending the authentication process of the customs clearance personnel.
More specifically, as shown in fig. 3, in the step B1, the process of collecting information of a customs clearance and performing feature comparison includes the following sub-steps:
step B11, collecting the ID card information of the customs clearance, including the data of name, nationality, native place, birth year and month, family address and ID card validity period;
step B12, sending the identity card information to a customs clearance system, and reading the registered fingerprint characteristic data and the face image corresponding to the identity card information of the customs clearance personnel;
step B13, collecting the fingerprint information of the customs clearance personnel;
step B14, the collected fingerprint information is matched with the registered fingerprint characteristic data, if the collected fingerprint information passes the registered fingerprint characteristic data, the step B15 is skipped, otherwise, the step B11 is returned;
and B15, acquiring the face pictures of the customs clearance personnel, sending the acquired face pictures to a customs clearance system to perform face comparison (such as face feature comparison) with the registered face images, jumping to the B2 if the comparison is passed, and otherwise, returning to the B11.
More specifically, the method for automatically authenticating the customs face, the fingerprint and the identity card comprises the following steps: the customs clearance system collects the identity card information of the customs clearance personnel and reads fingerprint characteristic data and face characteristic data (such as face images) registered by the customs clearance personnel according to the identity card information; the customs clearance system collects the fingerprint characteristics of the customs clearance personnel, compares the fingerprint characteristics with the fingerprint characteristic data registered by the customs clearance personnel, if the comparison is passed, the next step is carried out, otherwise, the comparison is failed to be sent to the customs clearance system, and the authentication process of the customs clearance personnel is finished; and the customs clearance system acquires the face picture of the person and compares the face picture with the registered face image, if the face characteristic data is compared, the identity authentication of the person in the customs clearance system is fed back successfully, otherwise, the comparison is failed to the customs clearance system, and the authentication process of the person in the customs clearance is finished.
In the ID card reader, the request method is realized by ReadData, and the process of responding data is as follows:
{
"PeopleName":"***",
"PeopleSex" to "women",
"PeopleIDCode":"******************",
"peoplesnation": Chinese character ",
"PeopleBirthday":"19881118",
"PeopleAddress":"***********************",
"StartDate":"20110330",
"EndDate":"20210330",
"Department":"**********",
"SexCode":"2"
"NationCode":"1"
}
the request method of the fingerprint template generated by the fingerprint acquisition equipment such as the fingerprint recognizer is realized by ReadData, and the process of responding successful data is as follows:
{
"Templet":"FAR5HBDReyAAAjpvcAAAhFKAgAARg8AA..."
}
the returned value of the fingerprint acquisition device such as the fingerprint recognizer is described as Templet: fingerprint template data.
The request method for collecting and comparing fingerprint characteristic data of fingerprint collection equipment such as the fingerprint recognizer is realized by Match, and the process of responding to successful data is as follows:
{
"Match":"success",
"Feature":"FAR5HBDReyAAAjpvcAAAhFKAgAARg8AA..."
}
the description of the matching return value of fingerprint acquisition equipment such as the fingerprint recognizer is Match: fingerprint comparison results (success/failure); feature: fingerprint feature code data.
In summary, the present embodiment integrates the face recognition, the fingerprint comparison and the identification card information reading into the customs link by editing the project engineering code with the dynamic link library, thereby solving the problems of low efficiency, high error and the like caused by the need of comparing the identification information of the customs personnel with the eyes of the customs personnel in the prior art.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. The utility model provides a customs face, fingerprint and ID card automatic authentication system which characterized in that includes:
the equipment management module is used for loading equipment library plug-ins, forming an equipment plug-in list and acquiring an equipment characteristic data list of the existing equipment library;
the fingerprint module collects fingerprint information through fingerprint identification equipment and matches the fingerprint information through the characteristic data in the equipment management module;
the face module acquires a face picture through a camera and matches the face picture through the feature data in the equipment library management module;
the identity card module acquires identity card information through an identity card reader and matches the identity card information through the characteristic data in the equipment library management module;
the customs identification module is used for providing a data interface for a customs system and realizing the acquisition of the comparison result of the customs system on the fingerprint picture, the face picture and the identity card information;
the equipment management module realizes equipment integration and interface calling by editing project engineering codes through a dynamic link library.
2. The automatic customs face, fingerprint and identification card authentication system according to claim 1, wherein the process of editing project engineering codes to realize device integration comprises the following steps:
step S1, opening project engineering, and filling manufacturer and equipment information in the project engineering code function;
step S2, initializing the API interface of the factory equipment by importing the factory equipment function;
step S3, calling a manufacturer API to read data and formatting the read data;
and step S4, calling the factory API interface to finish the operation.
3. The system for automatically authenticating a customs face, a fingerprint and an ID card according to claim 2, wherein in step S1, the manufacturer and equipment information is filled and the device unique ID value is added to the device type list of the basic information of the device.
4. The system for automatically authenticating a human face, a fingerprint and an identity card according to claim 2, wherein in the step S2, when a new error code needs to be added, an error code value is added to an apparatus error code list of the basic information of the apparatus.
5. The system for automatically authenticating a customs face, a fingerprint and an id card according to claim 2, wherein in the step S3, the read data is formatted into a JSON format sub-object, and then the main program packages the JSON format sub-object again.
6. The automatic customs face, fingerprint and identification card authentication system according to any one of claims 1 to 5, wherein the process of editing project engineering code implementation interface call comprises the following steps:
step A1, when the equipment information is called, the equipment name, manufacturer, model and version information are obtained;
step A2, initializing the device when the service is started;
step A3, shutting down the device when the service is closed;
step A4, obtaining the last error code and error record when error occurs;
step a5, reading data when a read data request is received;
step a6, writing data when new data is received;
step A7, when fingerprint feature code, face feature code or ID card information is read, the feature data in the equipment base management module is called to match.
7. The automatic customs face, fingerprint and id card authentication system according to claim 6, wherein in said step a2, the initialization device comprises the following sub-steps:
step A21, the automatic equipment controls the loading process of the plug-in, which is used for realizing automatic identification from the equipment plug-in library and loading fingerprint, face identification and identity card equipment;
step A22, automating a self-checking process of the equipment state, and realizing the automatic detection of the equipment state;
step A23, automatically recovering the abnormal state of the equipment, which is used for realizing the automatic recovery work of the abnormal state of the equipment;
step A24, providing automatic plug-in matching of the face recognition device by the device plug-in library;
step A25, the equipment plug-in library realizes the automatic plug-in matching of the fingerprint acquisition equipment;
and step A26, the equipment plug-in library realizes the automatic plug-in matching of the identity card acquisition equipment.
8. The automatic identification system of customs face, fingerprint and ID card according to any one of claims 1 to 5, it is characterized by comprising a standard interface service layer, an equipment plug-in driving layer and an equipment layer, wherein the standard interface service layer comprises a face recognition interface, an identity card recognition interface and a fingerprint recognition interface, the equipment plug-in drive layer comprises a camera plug-in drive, an ID card reader plug-in drive and a fingerprint identification instrument plug-in drive, the equipment layer comprises a camera, an identity card reader and a fingerprint recognizer, the camera is connected to the face recognition interface through the driving of the camera plug-in unit, the identity card reader is connected to the identity card identification interface through the identity card reader plug-in drive, the fingerprint identification instrument is connected to the fingerprint identification interface through the fingerprint identification instrument plug-in drive.
9. A method for automatically authenticating a customs face, a fingerprint and an identity card, which is applied to the system for automatically authenticating the customs face, the fingerprint and the identity card according to any one of claims 1 to 8, and comprises the following steps:
step B1, after the system is started, acquiring customs clearance information, comparing the characteristic data, jumping to step B2 if the comparison is passed, and otherwise, returning to continuously acquire customs clearance information;
and step B2, sending the identity card information, the fingerprint information and the face picture of the customs clearance personnel to a customs clearance system for registration, feeding back the success of authentication and ending the authentication process of the customs clearance personnel.
10. The automatic customs face, fingerprint and identity card authentication method according to claim 9, wherein in the step B1, the process of collecting customs officer information and performing feature comparison comprises the following substeps:
step B11, collecting the identity card information of the customs clearance personnel;
step B12, sending the ID card information to a customs clearance system, and reading fingerprint characteristic data and face characteristic data registered by the customs clearance personnel;
step B13, collecting the fingerprint information of the customs clearance personnel;
step B14, the collected fingerprint information is matched with the registered fingerprint characteristic data, if the collected fingerprint information passes the registered fingerprint characteristic data, the step B15 is skipped, otherwise, the step B11 is returned;
and B15, acquiring the face pictures of the customs clearance personnel, sending the acquired face pictures to a customs clearance system to be compared with the registered face images, jumping to the step B2 if the comparison is passed, and otherwise, returning to the step B11.
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