CN112016925A - Bank account security verification face recognition method based on encryption algorithm - Google Patents
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- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
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Abstract
The invention relates to the technical field of financial security protection, and provides a bank account security verification face recognition method based on an encryption algorithm, which comprises the following operation steps: the system end receives the bank card account service request, and starts the monitoring unit and the voice prompt unit; the monitoring unit respectively collects a full-face two-dimensional image and a local three-dimensional image of a user; pulling the registration information table, comparing the basic information of the service bank card, and judging whether the service bank card completes the face verification registration; processing the whole-face two-dimensional image and the local three-dimensional image after finishing the face verification registration, and respectively comparing the processed whole-face two-dimensional image and the local three-dimensional image with a face library and a 3D model library; otherwise, after identity verification, processing the full-face two-dimensional image and the local three-dimensional image, encrypting and uploading; after the comparison is successful and the face verification registration is completed, entering password input operation; the invention solves the problems of the prior art that the face recognition is insufficient and the face resource library is difficult to establish.
Description
Technical Field
The invention relates to the technical field of financial security protection, in particular to a bank account security verification face recognition method based on an encryption algorithm.
Background
The face recognition technology is a process of matching a face with a known identity in a database by means of extracting face information from a given static or dynamic image and the like with the aim of identity retrieval or verification. Because of the influence of interference factors such as illumination, expression, shelter from, orientation, compare with other technical means such as based on ID card, iris, palm print, fingerprint, the rate of accuracy of face identification technique is lower relatively, but its collection mode is most friendly: the face information can be collected and identified without the cooperation of the parties or even under the condition that the parties are not aware of the face information. Therefore, the face recognition technology has been a hot research topic in the field of artificial intelligence for over forty years, has grown mature to date, has been applied to the fields of anti-terrorism, security, entrance guard and the like, and has started to be popularized in the fields of education, finance and the like in recent years.
In the aspect of application in the bank field, the face recognition technology also has wide application space in the application scene of self-service equipment represented by an ATM. Such as: the identity of a payee is identified through a built-in camera of the ATM, and is compared with all people information, so that the phenomenon of embezzlement is prevented; the identity of the person who disguises or intentionally shields the face is identified and compared with the police database, so that the safety of the teller is ensured. When the above situation occurs, the system can trigger the preset alarm rule, and protect the fund and personal safety of bank customers to the maximum extent.
However, the face verification and recognition system in the prior art still has the following defects in the self-service field of financial institutions:
1. the face recognition in the prior art is two-dimensional recognition mostly, and illegal personnel can gather the portrait photo of the original card holder to cheat the face recognition device, so that the protectiveness of the system is not existed, and if the three-dimensional face recognition is adopted, the self-service experience of the user is influenced very much because the recognition comparison time is longer.
2. When face verification comparison is carried out, the background needs to establish face resource libraries of all cardholders, so that the cost investment is large, and the time and the labor are consumed.
Disclosure of Invention
Solves the technical problem
Aiming at the defects of the prior art, the invention provides a bank account security verification face recognition method based on an encryption algorithm, and solves the problems that the face recognition in the prior art has defects and a face resource library is difficult to establish.
Technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a bank account security verification face recognition method based on an encryption algorithm comprises the following operation steps:
the system end receives the bank card account service request, and starts the monitoring unit and the voice prompt unit;
the monitoring unit respectively collects a full-face two-dimensional image and a local three-dimensional image of a user;
pulling the registration information table, comparing the basic information of the service bank card, and judging whether the service bank card completes the face verification registration;
processing the whole-face two-dimensional image and the local three-dimensional image after finishing the face verification registration, and respectively comparing the processed whole-face two-dimensional image and the local three-dimensional image with a face library and a 3D model library;
otherwise, after identity verification, processing the full-face two-dimensional image and the local three-dimensional image, encrypting and uploading;
and after the comparison is successful and the face verification registration is completed, entering password input operation.
Furthermore, the monitoring unit is a camera and a three-dimensional face recognition instrument, the camera is used for collecting a full-face two-dimensional image, and the three-dimensional face recognition instrument is used for collecting a local three-dimensional image.
Still further, the local three-dimensional image preferably captures a nasal feature of the user.
Further, the full-face two-dimensional image and the partial three-dimensional image are automatically updated to the newly acquired image for a certain time.
Furthermore, when the full-face two-dimensional image and the local three-dimensional image are collected, a pure color plate body is arranged on the back of the head of the user, and preferably, the pure color plate body is a blue body.
Furthermore, after the full-face two-dimensional image and the local three-dimensional image are collected and are subjected to face image normalization processing, the full-face two-dimensional image adopts a PCA-ICA algorithm to extract facial signs, and the local three-dimensional image extracts nasal key points according to the deep ID network characteristics.
Furthermore, the identity verification passes through an associated identity card identification system, identity card picture information is obtained and is compared with the full-face two-dimensional image, and the identity verification is passed if the identity card picture information is matched with the full-face two-dimensional image.
Furthermore, the system end is provided with an alarm unit, the alarm unit fails to compare with the face library or fails to verify the identity, and the alarm unit sends warning information and automatically stores the full-face two-dimensional image of the user.
Furthermore, the full-face two-dimensional image and the partial three-dimensional image are encrypted by using an asymmetric encryption algorithm.
Advantageous effects
The invention provides a bank account security verification face recognition method based on an encryption algorithm, and compared with the prior art, the bank account security verification face recognition method has the following beneficial effects:
1. the system end is provided with the monitoring unit comprising the camera and the three-dimensional face recognition instrument, the monitoring unit is respectively used for acquiring a full-face two-dimensional image and a local three-dimensional image of a card-holding user, and the full-face two-dimensional image and the local three-dimensional image are compared by utilizing the comprehensive five sense organs of the full-face two-dimensional image and the local three-dimensional image, so that the comparison time is short, the face verification accuracy is greatly improved, the portrait photos of illegal persons are prevented from avoiding face verification, and the safety of financial accounts is further guaranteed.
2. By associating the identification card recognition system at the system end and arranging the registration information table, the card-holding user can conveniently and independently complete face verification registration according to the indication of the voice prompt unit when using the automatic service system, thereby greatly simplifying the operation process of the banking department and saving the investment of manpower and material resources.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of a system-side user face verification process according to the present invention;
FIG. 2 is a system side hardware system diagram of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
the bank account security verification face recognition method based on the encryption algorithm comprises the following operation steps, referring to fig. 1-2:
the system end receives the bank card account service request, and starts the monitoring unit and the voice prompt unit;
the monitoring unit respectively collects a full-face two-dimensional image and a local three-dimensional image of a user;
pulling the registration information table, comparing the basic information of the service bank card, and judging whether the service bank card completes the face verification registration;
processing the whole face two-dimensional image and the local three-dimensional image after finishing the face verification registration, and respectively comparing the processed whole face two-dimensional image and the local three-dimensional image with a face library and a 3D model library;
otherwise, after identity verification, processing the full-face two-dimensional image and the local three-dimensional image, encrypting and uploading; (wherein, the encryption adopts an asymmetric encryption algorithm, and the embodiment preferably adopts an RSA encryption algorithm).
After the comparison with the face library and the 3D model library is successful or the face verification registration is completed, the password input operation is entered, and the user can enter the independent service page to perform corresponding operation by inputting the correct password.
The monitoring unit is a camera and a three-dimensional face recognition instrument, the camera is used for collecting a full-face two-dimensional image, the three-dimensional face recognition instrument is used for collecting a local three-dimensional image, a pure-color plate body is arranged on the back of the head of a user when the full-face two-dimensional image and the local three-dimensional image are collected, and a blue body of the pure-color plate body is preferably selected; by adopting the background hardware design of the pure color plate body, the processing time of the monitoring unit on the collected image can be further shortened, and the extraction of the image edge and the key characteristic point is optimized.
After the full-face two-dimensional image and the local three-dimensional image are collected, face image normalization processing is carried out, the full-face two-dimensional image adopts a PCA-ICA algorithm to extract face signs, and the local three-dimensional image extracts nasal key points according to the deep ID network characteristics.
The nose part is the most protruding and obvious part of the face of the human body, so that the time is saved during recognition and modeling, and the time for three-dimensional face recognition can be effectively shortened. The full-face two-dimensional image and the local three-dimensional image are automatically updated in a face library and a 3D model library respectively within a certain time, and then the newly acquired image is selected to replace the original image, and the optimal time is 1-time update in 1 year;
and the identity verification passes through the associated identity card identification system, the identity card photo information is obtained and is compared with the full-face two-dimensional image, and the identity verification is passed if the identity card photo information is matched with the full-face two-dimensional image.
And the system end is provided with an alarm unit, the alarm unit fails to compare with the face library or fails to verify the identity, and the alarm unit sends warning information and automatically stores the full-face two-dimensional image of the user.
When the three-dimensional face recognition instrument is used specifically, a user needs to use the three-dimensional face recognition instrument according to the indication of the voice prompt unit, when face verification is carried out, the voice prompt unit can prompt the user to firstly rotate the head part to a certain angle leftwards and rightwards after the collection is successful, and therefore the three-dimensional face recognition instrument can conveniently collect and recognize the nose part of the user.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A bank account security verification face recognition method based on an encryption algorithm is characterized by comprising the following operation steps:
the system end receives the bank card account service request, and starts the monitoring unit and the voice prompt unit;
the monitoring unit respectively collects a full-face two-dimensional image and a local three-dimensional image of a user;
pulling the registration information table, comparing the basic information of the service bank card, and judging whether the service bank card completes the face verification registration;
processing the whole-face two-dimensional image and the local three-dimensional image after finishing the face verification registration, and respectively comparing the processed whole-face two-dimensional image and the local three-dimensional image with a face library and a 3D model library;
otherwise, after identity verification, processing the full-face two-dimensional image and the local three-dimensional image, encrypting and uploading;
and after the comparison is successful and the face verification registration is completed, entering password input operation.
2. The bank account security verification face recognition method based on the encryption algorithm, as claimed in claim 1, wherein the monitoring unit is a camera and a three-dimensional face recognition instrument, the camera is used for collecting a full-face two-dimensional image, and the three-dimensional face recognition instrument is used for collecting a partial three-dimensional image.
3. The bank account security verification face recognition method based on the encryption algorithm as claimed in claim 2, wherein the local three-dimensional image preferably collects the nasal characteristics of the user.
4. The bank account security verification face recognition method based on the encryption algorithm as claimed in claim 2, wherein the full-face two-dimensional image and the partial three-dimensional image are automatically updated to the latest acquired image at a certain time.
5. The bank account security verification face recognition method based on the encryption algorithm, as claimed in claim 4, wherein when the full-face two-dimensional image and the partial three-dimensional image are collected, a solid-color plate is arranged on the back of the head of the user, and preferably the solid-color plate is a blue body.
6. The bank account security verification face recognition method based on the encryption algorithm is characterized in that after the full-face two-dimensional image and the local three-dimensional image are collected and face image normalization processing is carried out, the full-face two-dimensional image adopts a PCA-ICA algorithm to extract face signs, and the local three-dimensional image extracts nasal key points according to the deep ID network characteristics.
7. The bank account security verification face recognition method based on the encryption algorithm as claimed in claim 1, wherein the identity verification passes through an associated identity card recognition system, identity card photo information is obtained and compared with the full-face two-dimensional image, and if matching is performed, identity verification is passed.
8. The bank account security verification face recognition method based on the encryption algorithm as claimed in claim 1, wherein the system side is provided with an alarm unit, the alarm unit fails to compare with a face library or fails to verify identity, and the alarm unit sends warning information and automatically stores a full-face two-dimensional image of the user.
9. The bank account security verification face recognition method based on the encryption algorithm, as claimed in claim 1, wherein the full-face two-dimensional image and the partial three-dimensional image are encrypted by an asymmetric encryption algorithm.
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Citations (5)
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| CN101315665A (en) * | 2008-06-27 | 2008-12-03 | 浙江大学 | Identity recognition method based on three-dimensional nose shape |
| CN103324912A (en) * | 2013-05-30 | 2013-09-25 | 苏州福丰科技有限公司 | Face recognition system and method for ATM |
| US20160210500A1 (en) * | 2015-01-15 | 2016-07-21 | Samsung Electronics Co., Ltd. | Method and apparatus for adjusting face pose |
| CN206340007U (en) * | 2016-12-22 | 2017-07-18 | 深圳市海德智讯科技有限公司 | A kind of intelligent portrait Dynamic Recognition authentication system |
| CN108229427A (en) * | 2018-01-29 | 2018-06-29 | 南京华科和鼎信息科技有限公司 | A kind of identity-based certificate and the identity security verification method and system of recognition of face |
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- 2019-05-29 CN CN201910459019.5A patent/CN112016925A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101315665A (en) * | 2008-06-27 | 2008-12-03 | 浙江大学 | Identity recognition method based on three-dimensional nose shape |
| CN103324912A (en) * | 2013-05-30 | 2013-09-25 | 苏州福丰科技有限公司 | Face recognition system and method for ATM |
| US20160210500A1 (en) * | 2015-01-15 | 2016-07-21 | Samsung Electronics Co., Ltd. | Method and apparatus for adjusting face pose |
| CN206340007U (en) * | 2016-12-22 | 2017-07-18 | 深圳市海德智讯科技有限公司 | A kind of intelligent portrait Dynamic Recognition authentication system |
| CN108229427A (en) * | 2018-01-29 | 2018-06-29 | 南京华科和鼎信息科技有限公司 | A kind of identity-based certificate and the identity security verification method and system of recognition of face |
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