CN117612175A - Audit tracking method, device, equipment and storage medium for seal use - Google Patents
Audit tracking method, device, equipment and storage medium for seal use Download PDFInfo
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- CN117612175A CN117612175A CN202410079776.0A CN202410079776A CN117612175A CN 117612175 A CN117612175 A CN 117612175A CN 202410079776 A CN202410079776 A CN 202410079776A CN 117612175 A CN117612175 A CN 117612175A
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- 238000000034 method Methods 0.000 title claims abstract description 70
- 238000012550 audit Methods 0.000 title abstract description 9
- 238000013474 audit trail Methods 0.000 claims abstract description 26
- 238000004590 computer program Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 11
- 230000011218 segmentation Effects 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 238000013135 deep learning Methods 0.000 claims description 7
- 238000007781 pre-processing Methods 0.000 claims description 6
- 230000000977 initiatory effect Effects 0.000 claims description 5
- 238000012015 optical character recognition Methods 0.000 description 10
- 238000003058 natural language processing Methods 0.000 description 7
- 238000007726 management method Methods 0.000 description 6
- 239000013598 vector Substances 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 210000003811 finger Anatomy 0.000 description 3
- 238000002372 labelling Methods 0.000 description 3
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- 230000006399 behavior Effects 0.000 description 1
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- 238000005242 forging Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000026676 system process Effects 0.000 description 1
- 210000003813 thumb Anatomy 0.000 description 1
Classifications
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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
- G06V30/14—Image acquisition
- G06V30/146—Aligning or centring of the image pick-up or image-field
- G06V30/147—Determination of region of interest
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41K—STAMPS; STAMPING OR NUMBERING APPARATUS OR DEVICES
- B41K1/00—Portable hand-operated devices without means for supporting or locating the articles to be stamped, i.e. hand stamps; Inking devices or other accessories therefor
- B41K1/36—Details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/80—Recognising image objects characterised by unique random patterns
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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
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/19173—Classification techniques
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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
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/413—Classification of content, e.g. text, photographs or tables
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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- Human Computer Interaction (AREA)
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Abstract
The invention belongs to the technical field of intelligent audit, and discloses an audit trail method, device, equipment and storage medium for seal use, wherein the method comprises the following steps: obtaining a first identification result based on the accessory of the application instruction; acquiring first face information; if the first face information is consistent with the first associated user, identifying fingerprint information of a first fingerprint identification area on the seal tool; if the identification is passed, judging whether the temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value; if the current value is not exceeded, starting a seal tool for stamping; closing a seal tool based on a pressure sensing signal of the file placing platform, opening a seal to use a camera, capturing a stamped file photo and carrying out text recognition to obtain a second recognition result; and comparing the second recognition result with the first recognition result, and displaying the second recognition result in a comparison manner in the accessory. The invention can effectively standardize the seal using flow, improve the supervision and traceability, and bring more intelligent and transparent auditing modes for the auditing process.
Description
Technical Field
The application relates to the field of intelligent audit, in particular to an audit trail method, device and equipment for seal use and a storage medium.
Background
In many industries, especially in the fields of finance, law and contract management, a seal is a legal element of legal documents and transactions, in order to standardize seal use, the existing mode is to design a strict approval process, and require approval of an advanced management layer or other related authorized personnel before seal use, but the manual approval process is easily affected by human errors, especially for large-scale companies or groups, seal use frequency is high, a supervisor cannot supervise all the time, once the seal process is separated from the line of sight of the supervisor, the risk of seal stealing, seal private use or other non-standardized use is difficult to be avoided, and the non-standardized seal use can cause problems of contract disputes, financial opacity and the like. How to normalize the use behavior of a user in the use process of the seal, the condition of stealing and abusing the seal is avoided, and the traditional seal use flow can not be verified on compliance and consistency of related files after the seal is used, tracing can not be carried out, legal risks are easily caused by bad use of various files, and the difficulty of post-incident responsibility following is increased.
Therefore, the problem that the stamp is difficult to prevent against illegal use and trace to source and correct is hard to be solved aiming at the lack of standardization and powerful supervision in the use process of the stamp.
Disclosure of Invention
The invention provides an audit trail method, device, equipment and storage medium for seal use, and aims to solve the technical problems that the seal lacks standardization and powerful supervision in the use process, and illegal use and traceability and reconnaissance of the seal are difficult to prevent.
In order to achieve the above object, a first aspect of the present invention provides an audit trail method for a seal, including:
text recognition is carried out based on first picture information converted by the corresponding accessory in the application instruction, and a first recognition result is obtained;
based on the chapter using instruction, starting face recognition and acquiring first face information;
if the first face information is consistent with the face information of the first associated user corresponding to the application instruction, receiving a fingerprint triggering instruction from a seal tool, and identifying fingerprint information of a first fingerprint identification area on the seal tool;
if the fingerprint information is consistent with the fingerprint information of the first associated user, judging whether the temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value;
If the threshold value is not exceeded, starting the seal tool; the method comprises the steps of starting a seal tool to control a first seal area positioned at a first initial height in the seal tool to extend downwards for a first designated distance, and controlling a second seal area positioned at a second initial height to extend downwards for a second designated distance, so that the first seal area, the second seal area and a seal ring form a plane positioned at the same height to seal a file;
receiving a pressure sensing signal from a file placing platform within a first preset time, closing the seal tool based on the pressure sensing signal, starting a seal to use a camera, and capturing a stamped file photo on the file placing platform;
performing text recognition on the stamped file photo to obtain a second recognition result;
comparing the second recognition result with the first recognition result;
based on the result of the comparison, a comparison display is made in the accessory.
Further, the step of performing text recognition based on the first picture information converted by the corresponding accessory in the application instruction to obtain a first recognition result includes:
receiving an application instruction of a user;
judging whether the application instruction passes the examination;
If the examination is passed, acquiring an accessory contained in the application instruction;
converting the format of the accessory to obtain first picture information;
text recognition is carried out based on the first picture information, and the first recognition result is obtained;
and storing the first identification result into a database.
Further, the seal tool comprises a seal body, the seal body comprises a plurality of seal characters and seal ring bodies of a plurality of seal character outer rings, the first seal area comprises a first number of seal characters, and the second seal area comprises a second number of seal characters.
Further, after the step of opening the seal and using the camera, the method includes:
dividing a characteristic point area in a shooting range corresponding to the seal using camera;
verifying whether corresponding feature points exist in the feature point area by using a feature point matching algorithm in the feature point area;
if so, judging that the file image exists;
preprocessing based on the current file image;
performing object detection on the file image by using a model trained based on a deep learning algorithm;
if other objects except the file exist in the current file image, outputting the position information of the other objects;
And if no other objects except the file exist in the current file image, judging that the file picture is stamped.
Further, the step of comparing the second recognition result with the first recognition result includes:
acquiring text content in the second recognition result and first text content in the first recognition result;
respectively carrying out segmentation processing on the text content and the first text content;
comparing the text similarity of the first text content and the text content in each segment based on the segmented first text content and the text content;
and judging whether a difference text exists between the first text content and the text content or not based on the text similarity.
Further, the step of performing contrast display in the accessory based on the comparison result includes:
if the difference text exists between the second recognition result and the first recognition result, acquiring coordinate information of a recognition text box corresponding to the difference text in a text recognition process;
calculating the positions of differential characters existing in the differential text by using a text comparison algorithm;
and marking specific positions of the difference text and the difference character in the first picture information based on the coordinate information of the identification text box and the position of the difference character.
Further, after the step of displaying the comparison in the accessory based on the comparison result, the method includes:
if the comparison accuracy of the second recognition result and the first recognition result is lower than a specified threshold;
acquiring user information initiating a corresponding application instruction and generating places and time of the stamped file photos;
and generating a first report based on the user information and the place and time.
The second aspect of the present application further provides an audit trail method apparatus for seal use, including:
the first result acquisition module is used for carrying out text recognition based on the first picture information converted by the corresponding accessory in the application instruction to obtain a first recognition result;
the first face information acquisition module is used for starting face recognition and acquiring first face information based on the chapter using instruction;
the fingerprint identification module is used for receiving a fingerprint trigger instruction from the seal tool and identifying the fingerprint information of a first fingerprint identification area on the seal tool if the first face information is consistent with the face information of a first associated user corresponding to the application instruction;
the temperature difference judging module is used for judging whether the temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value or not if the fingerprint information is consistent with the fingerprint information of the first associated user;
The seal starting module is used for starting the seal tool if the threshold value is not exceeded; the method comprises the steps of starting a seal tool to control a first seal area positioned at a first initial height in the seal tool to extend downwards for a first designated distance, and controlling a second seal area positioned at a second initial height to extend downwards for a second designated distance, so that the first seal area, the second seal area and a seal ring form a plane positioned at the same height to seal a file;
the file capturing module is used for receiving a pressure sensing signal from the file placing platform within a first preset time, closing the seal tool based on the pressure sensing signal, starting a seal to use a camera, and capturing a stamped file photo on the file placing platform;
the second result acquisition module is used for carrying out text recognition on the stamped file photos to obtain a second recognition result;
the comparison module is used for comparing the second identification result with the first identification result;
and the comparison display module is used for carrying out comparison display in the accessory based on the comparison result.
A third aspect of the present application also proposes a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the audit trail method of seal use as defined in any one of the preceding claims when the computer program is executed.
A fourth aspect of the present application also proposes a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of an audit trail method of seal use as described in any of the preceding claims.
The beneficial effects are that:
according to the invention, text recognition is carried out on the files transmitted by the accessories and the terminals in the application instructions, then, through double verification of face recognition and fingerprint recognition, temperature comparison is carried out on different fingerprint areas before the seal is started, the accuracy of the identity of a user is fully ensured, and in combination with the unique structural design of the seal tool, different seal areas on the seal body are respectively controlled to be stamped, seal-holding personnel are effectively prevented from using the seal through an irregular means, then, picture capturing is reasonably carried out on the stamped files, the consistency of file sources is ensured, then, a second recognition result is obtained through the files captured at present, and comparison is carried out based on the first recognition result and the second recognition result, so that the difference of the texts is recognized. By the digital means, the audit trail of the seal is realized, and the seal file of the seal user when the application and the audit are submitted can be clearly displayed, and the difference and the change of the seal file are different from the final seal file. The method effectively improves the supervision and traceability of the seal using process, reduces the risks of embezzling and abusing the seal and forging and falsifying the seal file, brings higher security and transparency for related industries,
Drawings
FIG. 1 is a flow chart of an audit trail method for use with a stamp according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of an audit trail method for use with a stamp according to one embodiment of the present invention;
FIG. 3 is a block diagram of a computer device according to one embodiment of the invention;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, modules, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any module and all combination of one or more of the associated listed items.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Referring to fig. 1, an embodiment of the present invention provides an audit trail method for use with a stamp, including steps S1 to S9 of:
s1: text recognition is carried out based on first picture information converted by the corresponding accessory in the application instruction, and a first recognition result is obtained;
in this step, the application instruction is a request for applying for using a seal by a user (user account), and if the current user applies for a seal on the terminal, the application instruction needs to include a file attachment of the seal to be stamped, and basic information including a use place, a time, a use number and the like. After the application instruction is checked and finished by the corresponding responsible person on line, the system automatically acquires the corresponding accessory in the application instruction, then carries out format conversion on the accessory, converts the accessory into a corresponding picture (first picture information), and then carries out text recognition on the content on the picture to obtain a first recognition result, wherein the text recognition can select to use an optical character recognition OCR (Optical Character Recognition) technology, can accurately recognize characters in the picture, converts the text in the picture into editable text, and can also select to use other text recognition modes, such as natural language processing (NLP (Natural Language Processing)) and the like, according to actual conditions.
S2: based on the chapter using instruction, starting face recognition and acquiring first face information;
s3: if the first face information is consistent with the face information of the first associated user corresponding to the application instruction, receiving a fingerprint triggering instruction from a seal tool, and identifying fingerprint information of a first fingerprint identification area on the seal tool;
s4: if the fingerprint information is consistent with the fingerprint information of the first associated user, judging whether the temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value;
s5: if the threshold value is not exceeded, starting the seal tool; the method comprises the steps of starting a seal tool to control a first seal area positioned at a first initial height in the seal tool to extend downwards for a first designated distance, and controlling a second seal area positioned at a second initial height to extend downwards for a second designated distance, so that the first seal area, the second seal area and a seal ring form a plane positioned at the same height to seal a file;
in steps S2-S5, the system first turns on the face recognition function based on the chapter command. The function carries out face recognition through a camera of the terminal equipment to acquire face recognition information of a user. The purpose of this step is to obtain face identification information related to the user, verify the identity of the user currently using the stamp, determine whether the current user is the same person as the associated user of the corresponding application instruction, specifically, the system obtains user information associated with the instruction from the application instruction, the information includes a user account number, a name, an identification card number, etc., and face features pre-stored in the system, and the system can match the face identification information of the user with the application instruction by associating the user information. After the matching is passed, the user needs to place five fingers in a holding area on the surface of the seal tool, the holding area comprises a first fingerprint identification area and a second fingerprint identification area, the two identification areas are designed according to the finger placement positions in the holding process, wherein the fingerprint identification device, the temperature sensing device and the pressure sensor are respectively arranged in the seal tool, which are matched with the first fingerprint identification area and the second fingerprint identification area, when the user's finger is placed in a designated area, the pressure sensor detects a corresponding pressure value, then a trigger signal is transmitted to the fingerprint identification device, the fingerprint identification device corresponding to the first fingerprint identification area verifies the fingerprint (usually thumb fingerprint) of the user existing in the fingerprint identification area, after the verification is successful, the trigger signal is transmitted to the temperature sensing device corresponding to the first fingerprint identification area and the second fingerprint identification area, when the temperature of the two areas is in a specified threshold value, the temperature sensing device judges that the current seal tool is operated by a first relevant user, so that the condition that other people use fingerprints for embezzling is avoided, the user can use the seal for the first time, seal characters are arranged on a seal body in the seal tool, each seal character can be regarded as a single individual, a plurality of seal characters are connected (can be split) and regarded as a first seal area, the first seal area is designed at the same height (the first initial height) in an initial state, the rest seal characters are regarded as a second seal area at the other height (the second initial height), and the seal body can be divided into two parts (two areas) or more parts (areas), the method has the advantages that a certain height difference is generated between each part (area) in an initial state, a user is prevented from pushing paper into the seal tool to seal, the standardization of the seal using process is improved, the seal is strictly controlled, when the seal starts to be used, a first seal area at a first initial height is pushed downwards by a first designated distance, a second seal area at a second initial height is pushed downwards by a second designated distance, the first designated distance and the second designated distance are set according to the distance from the seal to a file during seal, after pushing, the first seal area, the second seal area and the seal ring form a plane at the same height, and the file on a certain plane is printed.
S6: receiving a pressure sensing signal from a file placing platform within a first preset time, closing the seal tool based on the pressure sensing signal, starting a seal to use a camera, and capturing a stamped file photo on the file placing platform;
and receiving a pressure sensing signal from the file placing platform in a designated time after the seal is started, wherein the file placing platform is used for placing a file to be stamped, a pressure sensing device is arranged in the file placing platform, and after the seal tool is started, no matter manual stamping or automatic stamping is performed, a relative force is generated to the file placing platform, and at the moment, the pressure sensing device arranged in the file placing platform receives the pressure signal and determines that stamping is finished. If the sensing device does not generate a corresponding pressure value within the designated time, judging that the stamping is not performed, immediately closing the stamping tool, and recording. If the stamping is judged to be finished, a camera is used for opening the stamp in the appointed time, for example, two seconds are reserved, a time interval is reserved, a user can conveniently take down the stamp tool from the file placing platform, then picture capturing is carried out on the current stamping file, the text content of the file is recorded, so that the file is conveniently archived and checked later, the source file is traced, and the efficient rechecking of the auditing process is ensured.
S7: performing text recognition on the stamped file photo to obtain a second recognition result;
the system receives the stamped file photos from the terminal, wherein the terminal is a terminal device capable of receiving and storing data and can receive shooting data from the shooting device. The print file photo is a photo (picture) of a related file with seal marks, the picture is acquired in real time, and is generally acquired by a camera device communicated with a terminal, or acquired by using an integrated mobile device (such as a mobile phone), so as to record and store the printed file in the process of printing the file by a seal-holding user. And (3) carrying out text recognition based on the print file photo acquired by the terminal, wherein the text recognition in the step (1) can adopt the same text recognition method to acquire a second recognition result. The text recognition can select to use an optical character recognition OCR (Optical Character Recognition) technology, so that characters in the picture can be accurately recognized, the text in the picture can be converted into editable text, and other text recognition modes such as natural language processing (NLP (Natural Language Processing)) can be selected according to actual situations.
S8: comparing the second recognition result with the first recognition result;
the second identification result represents the file content actually stamped by the user, the first identification result represents the application content which is filled in on-line and checked by the user when the user performs the stamping application, and the second identification result is compared with the first identification result, so that whether the user has illegal use operation when the user performs the stamping can be clearly known.
S9: based on the result of the comparison, a comparison display is made in the accessory.
Based on the comparison result, the attachment carried by the user submitting the seal application is used as the original file, and the identification display is carried out in the original attachment at the place where the second identification result is different from the first identification result, so that a manager can clearly see which differences exist between the seal file of the user and the attachment in the initial application.
According to the embodiment, whether illegal use of the seal exists or not can be detected by comparing the actual seal content with the application content of the user, compliance of seal operation is improved, an audit trail of the seal using process is provided, management staff can trace back detailed seal operation of the user, validity and accuracy of operation are guaranteed, dependence on management staff is reduced through automatic text recognition and comparison, and audit efficiency is improved.
In one embodiment, the step of performing text recognition based on the first picture information converted by the corresponding accessory in the application instruction to obtain a first recognition result includes:
s10: receiving an application instruction of a user;
s11: judging whether the application instruction passes the examination;
s12: if the examination is passed, acquiring an accessory contained in the application instruction;
s13: converting the format of the accessory to obtain first picture information;
s14: text recognition is carried out based on the first picture information, and the first recognition result is obtained;
s15: and storing the first identification result into a database.
In this embodiment, first, the system receives an application instruction of the user, where the instruction is usually submitted by the user through the terminal device, and includes a user account number, a file attachment of the to-be-stamped seal, and other basic information, such as a use location, a time, a use number, and the like. After receiving the application instruction of the user, the system sends the corresponding application to the corresponding auditor, and then the system receives the pass instruction of the auditor. The auditing personnel can be performed by a responsible person or related management personnel in the system, so that the validity of the stamping request is ensured. If the audit is not passed, the user may need to be notified and the subsequent flow is terminated, if the audit is passed, the system extracts the attachment information from the application command, the attachment usually contains a file that the user requests to seal, the extracted attachment may have a different format, and for text recognition, the system needs to convert the format of the attachment into a corresponding picture format, so as to obtain the first picture information. This picture will be input as text recognition and then the first picture information is text recognized using Optical Character Recognition (OCR) technology. The OCR can accurately identify the characters in the picture, and convert the texts in the picture into editable texts, so that a first identification result, namely text information extracted from the application instruction attachment, is obtained. And finally, the system stores the first identification result into a database, and reserves the detailed information of the application for stamping for subsequent audit and comparison analysis. The information stored to the database may include user account number, application time, seal file content, etc. Through auditing flow and text recognition, the system ensures that the stamping request of the user meets the regulations, improves the compliance of stamping operation, provides a reliable data source for subsequent auditing by the information stored in the database, enables management staff to trace the detailed stamping operation of the user, reduces manual intervention through an automatic processing flow, and improves the operation efficiency.
In an embodiment, the seal tool includes a seal body, the seal body includes a plurality of seal characters and seal ring bodies of the seal character outer rings, wherein the first seal area includes a first number of seal characters, and the second seal area includes a second number of seal characters.
In this embodiment, the seal tool includes a seal body inside, and the seal body is composed of a plurality of seal characters and a seal ring body. The seal characters are specific characters, symbols or letters on the seal and are used for identifying and distinguishing main bodies represented by the seal, the seal body also comprises a seal ring body, and the seal ring body is an outer ring part of the seal and is used for surrounding the seal characters to form complete seal patterns. Divide into different seal areas, through setting up the height respectively, produce the difference in height, can avoid holding the non-compliance of seal personnel and steal. In an embodiment, the second seal area is a specific character selected in the first seal area, and assuming that the seal text is "123456", the first seal area is "123456", and then the second seal area may be any one of "1", "2." 6", or a combination area of any character, for example, a combination of" 1"," 3", and so on. According to the embodiment, a certain height difference can be generated between each seal area in an initial state, a user is prevented from pushing paper into the seal tool to seal, the standardization of the seal using process is improved, the seal is strictly controlled, when the seal starts to be used, a first seal area at a first initial height is pushed downwards by a first designated distance, a second seal area at a second initial height is pushed downwards by a second designated distance, the first designated distance and the second designated distance are set according to the distance from the seal to a file during sealing, after pushing, the first seal area, the second seal area and the seal ring form a plane at the same height, and the file on a certain plane is sealed.
In an embodiment, after the step of opening the seal to use the camera, the method includes:
s30: dividing a characteristic point area in a shooting range corresponding to the seal using camera;
s31: verifying whether corresponding feature points exist in the feature point area by using a feature point matching algorithm in the feature point area;
s32: if so, judging that the file image exists;
s33: preprocessing based on the current file image;
s34: performing object detection on the file image by using a model trained based on a deep learning algorithm;
s35: if other objects except the file exist in the current file image, outputting the position information of the other objects;
s36: and if no other objects except the file exist in the current file image, judging that the file picture is stamped.
In this embodiment, the system processes the image captured from the stamp using the camera, and divides the feature point area. The feature point region is a region associated with the document, for example, a region that may contain text or patterns, and is verified using a feature point matching algorithm that can be used to compare whether feature points in the image match known (pre-stored) document feature points to determine whether a possible document region exists, and if the feature point matching algorithm verifies that corresponding feature points are present in the feature point region, the system determines that a document image exists. This means that the content related to the file is contained in the captured image. After judging that the current picture contains the related files, next judging whether other shielding objects exist in the picture or not, and judging whether the image containing the files meets shooting specifications or not. First, on the basis of confirming the existence of the document image, the system may perform some preprocessing steps, such as image enhancement, denoising and the like, so as to improve the accuracy of subsequent object detection, and perform object detection on the document image by using a model trained by a deep learning algorithm, wherein the model trained by the deep learning algorithm may be to collect an image dataset with a marking frame in advance, wherein the image dataset contains examples of the document and other objects, and then mark the document and other objects by using an image marking tool, and record the positions of the document and other objects. And then training the object detection model by using a training algorithm (such as a deep learning algorithm) through the marked image data set and the corresponding object class labels. Finally, if the object detection result shows that other objects except the file exist in the file image, the system outputs (marks) the position information of the other objects and prompts the position information to wait for receiving a new shooting instruction. If the object detection result shows that other objects except the file do not exist in the file image, the system directly judges the current file as a stamped file photo. The purpose of this step is to confirm that the captured image contains only relevant content for stamp use, and no other interfering items.
In an embodiment, the step of comparing the second recognition result with the first recognition result includes:
s40: acquiring text content in the second recognition result and first text content in the first recognition result;
s41: respectively carrying out segmentation processing on the text content and the first text content;
s42: comparing the text similarity of the first text content and the text content in each segment based on the segmented first text content and the text content;
s43: and judging whether a difference text exists between the first text content and the text content or not based on the text similarity.
In this embodiment, text content (text content) in the second recognition result and first text content in the first recognition result are acquired, and the text content and the first text content are respectively subjected to segmentation processing. The aim is to divide the text into smaller semantic units in order to compare the differences of the text more carefully. Where segmentation may use natural language processing tools such as NLTK (Natural Language Toolkit) or space to segment text, or directly segment according to specific punctuation or other segmentation rules, segmentation processing may enable finer granularity of text comparisons, capture local differences of text, and help to quickly lock the approximate location of the differential text. Text similarity between each segment is compared based on the segmented first text content and the text content. Specifically, the text similarity can be measured by calculating the ratio of the intersection of two sets to the union, and the formula: [ \text { Jaccard_similarity } (A, B) = \frac { |A\cap B| } { |A\cup B| } ], in text processing, text can be represented as a set of words, and intersections and union of words are calculated; or measuring the similarity by calculating the cosine value of the included angle between two text vectors, and the formula is as follows: [ \text { cosine_similarity } (a, B) = \frac { a\cdot B } { |a|\cdot|b| } ], in text processing, text may be represented as a word vector, each dimension representing a weight of one word; or text is represented as vectors using a pre-trained Word vector model (e.g., word2Vec, gloVe, fastText, etc.), and then similarity between the vectors is calculated. If the text similarity exceeds the threshold value, the text similarity of each segment is considered to be different text, or a text similarity algorithm (such as a Levenshtein distance) can be used for calculating the text similarity of each segment, a pre-defined threshold value can be selected to judge when two segments are considered to be different, and the text similarity is used for determining the difference in the segments to provide a quantization index for the local difference of the text, so that the change can be accurately identified, and the sensitivity of the difference can be flexibly controlled by adjusting the threshold value. Through segmentation processing and text similarity comparison, finer analysis of text differences is achieved, local differences of texts can be captured, paragraphs or positions where the differences exist are well connected and fast locked, quantized indexes are provided by means of algorithms such as text similarity and the like, and judgment of the text differences is objective and controllable.
In an embodiment, the step of performing contrast display in the accessory based on the comparison result includes:
s50: if the difference text exists between the second recognition result and the first recognition result, acquiring coordinate information of a recognition text box corresponding to the difference text in a text recognition process;
s51: calculating the positions of differential characters existing in the differential text by using a text comparison algorithm;
s52: and marking specific positions of the difference text and the difference character in the first picture information based on the coordinate information of the identification text box and the position of the difference character.
In this embodiment, if there are different texts between the second recognition result and the first recognition result, coordinate information of the recognition text boxes corresponding to the different texts in the text recognition process needs to be obtained. This may be accomplished by OCR or information provided by a text recognition tool, and the coordinate information identifying the text box may be represented as a position of a rectangular box surrounding the difference text. Next, the location of the differential character present within the differential text may be calculated using a text comparison algorithm, which may compare the difference between two text sequences, such as a Levenshtein distance, etc., and by comparing the first and second recognition results, the algorithm may determine the specific location of the differential character. The position of these discrepancy characters may be represented as an offset or index of the character or text segment in the discrepancy text. Finally, based on the coordinate information of the recognition text box and the position of the difference character, specific positions of the difference text and the difference character can be marked in the first picture information. This may be achieved by drawing a rectangular box on the image or displaying text at a specific location. The labeling results will show which parts are the difference text and the position of the difference character. The embodiment provides a visual mode to display the difference between two text recognition results, so that a user can more intuitively understand and compare the accuracy of text recognition, the position of the difference text can be locked by marking the specific positions of the difference text and the difference characters, the context where the difference text is located and the specific position of the difference text can be quickly locked and captured, the user can be helped to find the difference point more easily, and accordingly audit trail and verification can be performed more quickly. In summary, according to the difference between the two text recognition results, the embodiment obtains the coordinate information of the recognition text box, calculates the position of the difference character, and marks the original picture, so that the difference is more visual. The method has certain automation and accuracy, improves auditing efficiency, strictly controls the using process of the seal, and clearly traces the source file.
In an embodiment, the step of displaying the comparison in the accessory based on the comparison result includes:
s60: if the comparison accuracy of the second recognition result and the first recognition result is lower than a specified threshold;
s61: acquiring user information initiating a corresponding application instruction and generating places and time of the stamped file photos;
s62: and generating a first report based on the user information and the place and time.
In this embodiment, the first recognition result and the second recognition result are compared, the accuracy is calculated, that is, how much the probability of the occurrence of the mismatch is determined by the accuracy, if the accuracy is lower than a specified threshold, the system will acquire the user information initiating the corresponding application instruction, and the location and time information related to the stamped file photograph, and then generate a comprehensive view (first report) based on these information, so that the manager can intuitively understand the information of the related user and the conditions of the stamp and use. The embodiment can combine the user information, the place and the time information, the generated report provides a more comprehensive context, the background of the recognition result is helpful to be deeply known, and visual data enables related personnel to timely find and intervene in the possible problems.
Referring to fig. 2, an audit trail method apparatus for a seal is further provided in an embodiment of the present invention, including:
the first result obtaining module 100 is configured to perform text recognition based on the first picture information converted by the corresponding accessory in the application instruction, so as to obtain a first recognition result;
the first face information obtaining module 200 is configured to start face recognition and obtain first face information based on the chapter command;
the fingerprint identification module 300 is configured to receive a fingerprint trigger instruction from the seal tool if the first face information is consistent with the face information of the first associated user corresponding to the application instruction, and identify fingerprint information of a first fingerprint identification area on the seal tool;
the temperature difference judging module 400 is configured to judge whether a temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value if the fingerprint information is consistent with the fingerprint information of the first associated user;
a seal starting module 500, configured to start the seal tool if the threshold is not exceeded; the method comprises the steps of starting a seal tool to control a first seal area positioned at a first initial height in the seal tool to extend downwards for a first designated distance, and controlling a second seal area positioned at a second initial height to extend downwards for a second designated distance, so that the first seal area, the second seal area and a seal ring form a plane positioned at the same height to seal a file;
The file capturing module 600 is configured to receive a pressure sensing signal from a file placing platform within a first preset time, close the seal tool based on the pressure sensing signal, and open a seal to use a camera, and capture a print file photo on the file placing platform;
the second result obtaining module 700 is configured to perform text recognition on the print file photograph to obtain a second recognition result;
a comparing module 800, configured to compare the second recognition result with the first recognition result;
and the comparison display module 900 is used for performing comparison display in the accessory based on the comparison result. In one embodiment, the first result obtaining module 100 includes:
the application instruction receiving unit is used for receiving an application instruction of a user;
the auditing judging unit is used for judging whether the application instruction passes auditing;
the accessory acquisition unit is used for acquiring accessories contained in the application instruction if the examination passes;
the format conversion unit is used for carrying out format conversion on the accessory to obtain first picture information;
the first text recognition unit is used for carrying out text recognition based on the first picture information and obtaining the first recognition result;
And the first result storage unit is used for storing the first identification result into a database.
In one embodiment, the apparatus further comprises:
the region dividing module is used for dividing a characteristic point region in a shooting range corresponding to the seal using camera;
the feature recognition module is used for verifying whether corresponding feature points exist in the feature point area or not by using a feature point matching algorithm in the feature point area;
the image judging module is used for judging that the file image exists if the file image exists;
the preprocessing module is used for preprocessing the current file image;
the object detection module is used for detecting objects of the file images by using a model trained based on a deep learning algorithm;
if other objects except the file exist in the current file image, outputting the position information of the other objects;
and the photo judging module is used for judging that the file photo is stamped if other objects except the file do not exist in the current file image.
In one embodiment, the comparison module 800 includes:
a content acquisition unit, configured to acquire text content in the second recognition result and first text content in the first recognition result;
The segmentation processing unit is used for respectively carrying out segmentation processing on the text content and the first text content;
a distance judging unit, configured to compare a text similarity between the first text content and the text content in each segment based on the segmented first text content and the text content;
and the difference judging unit is used for judging whether a difference text exists between the first text content and the text content or not based on the text similarity.
In one embodiment, the contrast display module 900 includes:
the coordinate acquisition unit is used for acquiring coordinate information of an identification text box corresponding to the difference text in the text identification process if the difference text exists between the second identification result and the first identification result;
a difference character acquisition unit for calculating the positions of difference characters existing in the difference text by using a text comparison algorithm;
and the specific position labeling unit is used for labeling the specific positions of the difference text and the difference character in the first picture information based on the coordinate information of the identification text box and the position of the difference character.
In an embodiment, the apparatus further includes:
The threshold judging unit is used for judging whether the comparison accuracy of the second identification result and the first identification result is lower than a specified threshold;
the information acquisition unit is used for acquiring user information initiating a corresponding application instruction and the place and time for generating the stamped file photo;
and the report generation unit is used for generating a first report based on the user information, the place and the time.
Referring to fig. 3, an embodiment of the present invention further provides a computer device, and an internal structure of the computer device may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The nonvolatile storage medium stores an operating device, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for audio and video parameters and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. Further, the above-mentioned computer apparatus may be further provided with an input device, a display screen, and the like. The audit trail method for realizing seal use when the computer program is executed by a processor comprises the following steps: text recognition is carried out based on first picture information converted by the corresponding accessory in the application instruction, and a first recognition result is obtained; based on the chapter using instruction, starting face recognition and acquiring first face information; if the first face information is consistent with the face information of the first associated user corresponding to the application instruction, receiving a fingerprint triggering instruction from a seal tool, and identifying fingerprint information of a first fingerprint identification area on the seal tool; if the fingerprint information is consistent with the fingerprint information of the first associated user, judging whether the temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value; if the threshold value is not exceeded, starting the seal tool; the method comprises the steps of starting a seal tool to control a first seal area positioned at a first initial height in the seal tool to extend downwards for a first designated distance, and controlling a second seal area positioned at a second initial height to extend downwards for a second designated distance, so that the first seal area, the second seal area and a seal ring form a plane positioned at the same height to seal a file; receiving a pressure sensing signal from a file placing platform within a first preset time, closing the seal tool based on the pressure sensing signal, starting a seal to use a camera, and capturing a stamped file photo on the file placing platform; performing text recognition on the stamped file photo to obtain a second recognition result; comparing the second recognition result with the first recognition result; based on the result of the comparison, a comparison display is made in the accessory. Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device to which the present application is applied.
An embodiment of the present application further provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements an audit trail method for seal use, including the steps of: text recognition is carried out based on first picture information converted by the corresponding accessory in the application instruction, and a first recognition result is obtained; based on the chapter using instruction, starting face recognition and acquiring first face information; if the first face information is consistent with the face information of the first associated user corresponding to the application instruction, receiving a fingerprint triggering instruction from a seal tool, and identifying fingerprint information of a first fingerprint identification area on the seal tool; if the fingerprint information is consistent with the fingerprint information of the first associated user, judging whether the temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value; if the threshold value is not exceeded, starting the seal tool; the method comprises the steps of starting a seal tool to control a first seal area positioned at a first initial height in the seal tool to extend downwards for a first designated distance, and controlling a second seal area positioned at a second initial height to extend downwards for a second designated distance, so that the first seal area, the second seal area and a seal ring form a plane positioned at the same height to seal a file; receiving a pressure sensing signal from a file placing platform within a first preset time, closing the seal tool based on the pressure sensing signal, starting a seal to use a camera, and capturing a stamped file photo on the file placing platform; performing text recognition on the stamped file photo to obtain a second recognition result; comparing the second recognition result with the first recognition result; based on the result of the comparison, a comparison display is made in the accessory. It is understood that the computer readable storage medium in this embodiment may be a volatile readable storage medium or a nonvolatile readable storage medium.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes using the descriptions and drawings of the present invention or directly or indirectly applied to other related technical fields are included in the scope of the invention.
Claims (10)
1. An audit trail method for use with a seal, comprising:
text recognition is carried out based on first picture information converted by the corresponding accessory in the application instruction, and a first recognition result is obtained;
Based on the chapter using instruction, starting face recognition and acquiring first face information;
if the first face information is consistent with the face information of the first associated user corresponding to the application instruction, receiving a fingerprint triggering instruction from a seal tool, and identifying fingerprint information of a first fingerprint identification area on the seal tool;
if the fingerprint information is consistent with the fingerprint information of the first associated user, judging whether the temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value;
if the threshold value is not exceeded, starting the seal tool; the method comprises the steps of starting a seal tool to control a first seal area positioned at a first initial height in the seal tool to extend downwards for a first designated distance, and controlling a second seal area positioned at a second initial height to extend downwards for a second designated distance, so that the first seal area, the second seal area and a seal ring form a plane positioned at the same height to seal a file;
receiving a pressure sensing signal from a file placing platform within a first preset time, closing the seal tool based on the pressure sensing signal, starting a seal to use a camera, and capturing a stamped file photo on the file placing platform;
Performing text recognition on the stamped file photo to obtain a second recognition result;
comparing the second recognition result with the first recognition result;
based on the result of the comparison, a comparison display is made in the accessory.
2. The method for audit trail of a seal according to claim 1, wherein the step of performing text recognition based on the first picture information converted by the corresponding accessory in the application instruction to obtain a first recognition result includes:
receiving an application instruction of a user;
judging whether the application instruction passes the examination;
if the examination is passed, acquiring an accessory contained in the application instruction;
converting the format of the accessory to obtain first picture information;
text recognition is carried out based on the first picture information, and the first recognition result is obtained;
and storing the first identification result into a database.
3. The audit trail method for a seal of claim 1, wherein the seal tool includes a seal body, the seal body includes a plurality of seal words and a seal ring body of an outer ring of the plurality of seal words, wherein the first seal region includes a first number of seal words, and the second seal region includes a second number of seal words.
4. The audit trail method for a seal according to claim 1, wherein the step of capturing a photograph of the stamped document includes:
dividing a characteristic point area in a shooting range corresponding to the seal using camera;
verifying whether corresponding feature points exist in the feature point area by using a feature point matching algorithm in the feature point area;
if so, judging that the file image exists;
preprocessing based on the current file image;
performing object detection on the file image by using a model trained based on a deep learning algorithm;
if other objects except the file exist in the current file image, outputting the position information of the other objects;
and if no other objects except the file exist in the current file image, judging that the file picture is stamped.
5. An audit trail method for a seal as claimed in claim 1, wherein the step of comparing the second identification result with the first identification result includes:
acquiring text content in the second recognition result and first text content in the first recognition result;
respectively carrying out segmentation processing on the text content and the first text content;
Comparing the text similarity of the first text content and the text content in each segment based on the segmented first text content and the text content;
and judging whether a difference text exists between the first text content and the text content or not based on the text similarity.
6. An audit trail method for a seal according to claim 5 wherein the step of contrasting the display in the accessory based on the contrasting results includes:
if the difference text exists between the second recognition result and the first recognition result, acquiring coordinate information of a recognition text box corresponding to the difference text in a text recognition process;
calculating the positions of differential characters existing in the differential text by using a text comparison algorithm;
and marking specific positions of the difference text and the difference character in the first picture information based on the coordinate information of the identification text box and the position of the difference character.
7. An audit trail method for a seal according to claim 1 including, after the step of contrast displaying in the accessory based on the result of the comparison:
If the comparison accuracy of the second recognition result and the first recognition result is lower than a specified threshold;
acquiring user information initiating a corresponding application instruction and generating places and time of the stamped file photos;
and generating a first report based on the user information and the place and time.
8. An audit trail method apparatus for use with a seal, comprising:
the first result acquisition module is used for carrying out text recognition based on the first picture information converted by the corresponding accessory in the application instruction to obtain a first recognition result;
the first face information acquisition module is used for starting face recognition and acquiring first face information based on the chapter using instruction;
the fingerprint identification module is used for receiving a fingerprint trigger instruction from the seal tool and identifying the fingerprint information of a first fingerprint identification area on the seal tool if the first face information is consistent with the face information of a first associated user corresponding to the application instruction;
the temperature difference judging module is used for judging whether the temperature difference between a first fingerprint identification area and a second fingerprint identification area on the seal tool exceeds a threshold value or not if the fingerprint information is consistent with the fingerprint information of the first associated user;
The seal starting module is used for starting the seal tool if the threshold value is not exceeded; the method comprises the steps of starting a seal tool to control a first seal area positioned at a first initial height in the seal tool to extend downwards for a first designated distance, and controlling a second seal area positioned at a second initial height to extend downwards for a second designated distance, so that the first seal area, the second seal area and a seal ring form a plane positioned at the same height to seal a file;
the file capturing module is used for receiving a pressure sensing signal from the file placing platform within a first preset time, closing the seal tool based on the pressure sensing signal, starting a seal to use a camera, and capturing a stamped file photo on the file placing platform;
the second result acquisition module is used for carrying out text recognition on the stamped file photos to obtain a second recognition result;
the comparison module is used for comparing the second identification result with the first identification result;
and the comparison display module is used for carrying out comparison display in the accessory based on the comparison result.
9. A computer device comprising a memory and a processor, the memory having stored therein a computer program, wherein the processor when executing the computer program performs the steps of the audit trail method of the use of a stamp as claimed in any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the audit trail method of seal use as claimed in any of claims 1 to 7.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101134406A (en) * | 2007-09-28 | 2008-03-05 | 蒋蕊兰 | Embezzling-proof seal |
| CN102310631A (en) * | 2010-06-30 | 2012-01-11 | 上海视加信息科技有限公司 | Data processing method of fingerprint seal |
| CN102501648A (en) * | 2011-10-11 | 2012-06-20 | 陕西科技大学 | Official seal use management method and device |
| US20130063245A1 (en) * | 2011-09-13 | 2013-03-14 | Jarrah Ali Abdullah Al-Mutairi | Electronic seal system |
| CN103544567A (en) * | 2013-10-24 | 2014-01-29 | 南京理工大学连云港研究院 | Device and method for safely keeping and using seal |
| CN103646201A (en) * | 2013-12-09 | 2014-03-19 | 东南大学 | Verification method achieved by combining human faces with identities |
-
2024
- 2024-01-19 CN CN202410079776.0A patent/CN117612175B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101134406A (en) * | 2007-09-28 | 2008-03-05 | 蒋蕊兰 | Embezzling-proof seal |
| CN102310631A (en) * | 2010-06-30 | 2012-01-11 | 上海视加信息科技有限公司 | Data processing method of fingerprint seal |
| US20130063245A1 (en) * | 2011-09-13 | 2013-03-14 | Jarrah Ali Abdullah Al-Mutairi | Electronic seal system |
| CN102501648A (en) * | 2011-10-11 | 2012-06-20 | 陕西科技大学 | Official seal use management method and device |
| CN103544567A (en) * | 2013-10-24 | 2014-01-29 | 南京理工大学连云港研究院 | Device and method for safely keeping and using seal |
| CN103646201A (en) * | 2013-12-09 | 2014-03-19 | 东南大学 | Verification method achieved by combining human faces with identities |
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