CN105426880A - Face recognition method and system applied to bank business processing - Google Patents
Face recognition method and system applied to bank business processing Download PDFInfo
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- CN105426880A CN105426880A CN201510982933.XA CN201510982933A CN105426880A CN 105426880 A CN105426880 A CN 105426880A CN 201510982933 A CN201510982933 A CN 201510982933A CN 105426880 A CN105426880 A CN 105426880A
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000003384 imaging method Methods 0.000 claims description 21
- 238000000513 principal component analysis Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
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Abstract
The invention discloses a face recognition method and system applied to bank business processing. The method comprises the steps that a client image is photographed by image photographing equipment of self-service equipment at the self-service equipment side, and the current characteristic values of a client face are calculated according to the client image; and the current characteristic values are transmitted to the face checking system of a server side, and the face checking system performs comparison according to the current characteristic values and the standard characteristic values of the client so as to determine authenticity of the client. With application of the face recognition method and system applied to bank business processing, pressure of bandwidth and the server in mass concurrent processing can be effectively reduced so that authentication speed can be enhanced and workload of a background system (e.g. the face checking system) can be reduced.
Description
Technical field
The present invention relates to field of face identification, specifically, relate to a kind of face identification method and the system that are applied to banking process.
Background technology
Along with active, all kinds of business of bank busy of economic market, while dot number and popularization, the intensity of traffic of bank outlets but fails to be releived.Wherein, a large amount of portfolios comes from the identity examination & verification business needing bank personnel to discern.Based on this reason, in recent years, bank widelys popularize based on the Possum of long-distance video automatic teller machine (VirtualTellerMachine, VTM), and identity is is wherein discerned problem and also become key issue.Such as, prior art is difficult to when identity is discerned discern in raising the working load that speed reduces background system (such as, face auditing system) simultaneously, and this is the major issue of current system for restricting performance and business processing speed.
Summary of the invention
In view of the above-mentioned defect of prior art, embodiment of the present invention provides a kind of face identification method and the system that are applied to banking process, the working load that speed reduces background system (such as, face auditing system) simultaneously can be discerned in raising.
Particularly, embodiment of the present invention provides a kind of face identification method being applied to banking process, and it comprises:
At the picture pick-up device shooting imaging client of Possum end by Possum, and calculate the current characteristic value of client face according to described imaging client;
Described current characteristic value is sent to the face auditing system of server end, is contrasted by the Standard Eigenvalue of described face auditing system according to described current characteristic value and described client, determine whether client is me.
Correspondingly, embodiment of the present invention additionally provides a kind of face identification system being applied to banking process, and it comprises:
Feature computation device, at the picture pick-up device shooting imaging client of Possum end by Possum, calculates the current characteristic value of client face, and described current characteristic value is sent to face auditing system according to described imaging client;
Being positioned at the face auditing system of server end, for contrasting according to the Standard Eigenvalue of described current characteristic value and described client, determining whether client is me.
Embodiment of the present invention is adopted to have following beneficial effect:
By calculating eigenwert at Possum end, and only send eigenwert and without the need to sending image to server end, also without the need to carrying out the calculating of this eigenwert at server end, to the pressure of bandwidth and server when effectively can reduce concurrent processing in enormous quantities, the working load that speed reduces background system (such as, face auditing system) is is simultaneously discerned in raising.
Accompanying drawing explanation
Fig. 1 is a kind of example being applied to the schematic flow sheet of the face identification method of banking process according to the embodiment of the present invention;
Fig. 2 is a kind of another example being applied to the schematic flow sheet of the face identification method of banking process according to the embodiment of the present invention;
Fig. 3 is a kind of block diagram being applied to the face identification system of banking process according to the embodiment of the present invention.
Embodiment
For the ease of understanding the various aspects of technical solution of the present invention, feature and advantage, below in conjunction with accompanying drawing, the present invention is specifically described.Should be appreciated that following various embodiments are only for illustrating, but not for limiting the scope of the invention.
Fig. 1 is a kind of example being applied to the schematic flow sheet of the face identification method of banking process according to the embodiment of the present invention.With reference to Fig. 1, described method comprises:
10: shooting imaging client also calculates current characteristic value.Specifically, at the picture pick-up device shooting imaging client of Possum end by Possum, and the current characteristic value of client face is calculated according to described imaging client.
12: current characteristic value is sent to face auditing system.Wherein, face auditing system is configured at server end.
14: face auditing system carries out identity and discerns.Specifically, face auditing system contrasts according to the Standard Eigenvalue of described current characteristic value and described client, determines whether client is me.
Adopt the method that the present embodiment provides, by calculating eigenwert at Possum end, and only send eigenwert and without the need to sending image to server end, also without the need to carrying out the calculating of this eigenwert at server end, to the pressure of bandwidth and server when effectively can reduce concurrent processing in enormous quantities, the working load that speed reduces background system (such as, face auditing system) is is simultaneously discerned in raising.
Alternatively, in a kind of implementation of the present embodiment, in process 10, at Possum end, when receiving shooting instruction (such as, being operated the shooting instruction sent by teller) that remote teller system sends, take described imaging client by the picture pick-up device of Possum.
Alternatively, in a kind of implementation of the present embodiment, in process 10, call default eigenwert computing method for described imaging client and calculate described current characteristic value.The eigenwert computing method preset comprise principal component analysis (PCA) (PrincipalComponentAnalysis, PCA) or linear discriminent analysis (LinearDiscriminantAnalysis, LDA).Certainly, also can be other algorithm existing.
Alternatively, in a kind of implementation of the present embodiment, the current characteristic value calculated in process 10 comprises the eigenwert of multiple characteristic portions of the face of client, correspondingly, in process 14, face auditing system can contrast with the eigenwert of multiple characteristic portions of standard respectively according to the eigenwert of described multiple characteristic portion, according to comparing result determination similarity, and judges whether in person client according to similarity.
Fig. 2 is a kind of another example being applied to the schematic flow sheet of the face identification method of banking process according to the embodiment of the present invention, and with reference to Fig. 2, described method comprises:
20: storage client carries out my qulification type operation at Possum.
22: backstage teller carries out filming image to client.Such as, the teller of remote teller system observes client by video system and chooses right moment for camera, controls Possum and takes.
24: local feature computation device calls the eigenwert that eigenwert computing method calculate the multiple characteristic portion of client face.
26: the eigenwert calculated is sent to face auditing system.
28: the Standard Eigenvalue stored in the eigenwert of reception and database contrasts by face auditing system.Described Standard Eigenvalue can be the eigenwert calculated according to customer's identity card photo.
Adopt the present embodiment, to the pressure of bandwidth and server when effectively can reduce concurrent processing in enormous quantities, discern in raising the working load that speed reduces background system (such as, face auditing system) simultaneously.
Fig. 3 is a kind of block diagram being applied to the face identification system of banking process according to the embodiment of the present invention, and with reference to Fig. 3, face identification system comprises feature computation device 30 and face auditing system 32.Wherein, feature computation device 30 is configured at Possum end, for at the picture pick-up device shooting imaging client of Possum end by Possum, calculate the current characteristic value of client face according to described imaging client, and described current characteristic value is sent to face auditing system; Face auditing system 32 is configured at server end, for contrasting according to the Standard Eigenvalue of described current characteristic value and described client, determines whether client is me.
The face identification system that theres is provided of the present embodiment is provided, to the pressure of bandwidth and server when effectively can reduce concurrent processing in enormous quantities, discerns in raising the working load that speed reduces background system (such as, face auditing system) simultaneously.
Alternatively, in a kind of implementation of the present embodiment, feature computation device 30 comprises receiver module, its for receive remote teller system send shooting instruction, and trigger when receiving described shooting instruction described feature computation device by the picture pick-up device of Possum take described client impact.
Alternatively, in a kind of implementation of the present embodiment, feature computation device 30 comprises calling module, and it calculates described current characteristic value for calling default eigenwert computing method for described imaging client.Wherein, the eigenwert computing method preset comprise principal component analysis (PCA) or linear discriminent analysis.
Alternatively, in a kind of implementation of the present embodiment, the current characteristic value that feature computation device 30 calculates comprises the eigenwert of multiple characteristic portions of the face of described client.
Those skilled in the art are to be understood that, system embodiment of the present invention may be used for realizing embodiment of the method for the present invention, therefore, about in system embodiment performed by each device, module or system or the detailed description of executable process, refer to the explanation in embodiment of the method, repeat no more herein.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode of software combined with hardware platform.Based on such understanding, what technical scheme of the present invention contributed to background technology can embody with the form of software product in whole or in part, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
Skilled person should be appreciated that and disclosed is only embodiments of the present invention above, and certainly can not limit the interest field of the present invention with this, the equivalent variations done according to embodiment of the present invention, still belongs to the scope that the claims in the present invention contain.
Claims (10)
1. be applied to a face identification method for banking process, it is characterized in that, described method comprises:
At the picture pick-up device shooting imaging client of Possum end by Possum, and calculate the current characteristic value of client face according to described imaging client;
Described current characteristic value is sent to the face auditing system of server end, is contrasted by the Standard Eigenvalue of described face auditing system according to described current characteristic value and described client, determine whether client is me.
2. the method for claim 1, is characterized in that, comprises at the picture pick-up device shooting imaging client of Possum end by Possum:
At Possum end, when receiving the shooting instruction that remote teller system sends, take described imaging client by the picture pick-up device of Possum.
3. the method for claim 1, is characterized in that, the current characteristic value calculating client face according to described imaging client comprises:
Call default eigenwert computing method for described imaging client and calculate described current characteristic value.
4. method as claimed in claim 3, it is characterized in that, described default eigenwert computing method comprise:
Principal component analysis (PCA) or linear discriminent analysis.
5. the method for claim 1, is characterized in that, described current characteristic value comprises:
The eigenwert of multiple characteristic portions of the face of described client.
6. be applied to a face identification system for banking process, it is characterized in that, described system comprises:
Feature computation device, at the picture pick-up device shooting imaging client of Possum end by Possum, calculates the current characteristic value of client face, and described current characteristic value is sent to face auditing system according to described imaging client;
Being positioned at the face auditing system of server end, for contrasting according to the Standard Eigenvalue of described current characteristic value and described client, determining whether client is me.
7. system as claimed in claim 6, it is characterized in that, described feature computation device also comprises:
Receiver module, for receive remote teller system send shooting instruction, and trigger when receiving described shooting instruction described feature computation device by the picture pick-up device of Possum take described client impact.
8. system as claimed in claim 6, it is characterized in that, described feature computation device comprises:
Calling module, calculates described current characteristic value for calling default eigenwert computing method for described imaging client.
9. system as claimed in claim 8, it is characterized in that, described default eigenwert computing method comprise:
Principal component analysis (PCA) or linear discriminent analysis.
10. system as claimed in claim 6, it is characterized in that, described current characteristic value comprises:
The eigenwert of multiple characteristic portions of the face of described client.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510982933.XA CN105426880A (en) | 2015-12-24 | 2015-12-24 | Face recognition method and system applied to bank business processing |
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| CN201510982933.XA CN105426880A (en) | 2015-12-24 | 2015-12-24 | Face recognition method and system applied to bank business processing |
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| CN105426880A true CN105426880A (en) | 2016-03-23 |
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| CN201510982933.XA Pending CN105426880A (en) | 2015-12-24 | 2015-12-24 | Face recognition method and system applied to bank business processing |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110858283A (en) * | 2018-08-23 | 2020-03-03 | 营利度富信息系统（上海）有限公司 | Application of face recognition in intelligent bank system |
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| CN101174298A (en) * | 2006-11-02 | 2008-05-07 | 上海银晨智能识别科技有限公司 | Scattered-point high-volume face recognition system and recognizing method thereof |
| CN101420301A (en) * | 2008-04-21 | 2009-04-29 | 林格灵 | Human face recognizing identity authentication system |
| US20110087611A1 (en) * | 2009-10-14 | 2011-04-14 | Shyam Chetal | Biometric identification and authentication system for financial accounts |
| CN102800017A (en) * | 2012-07-09 | 2012-11-28 | 高艳玲 | Identity verification system based on face recognition |
| CN104050755A (en) * | 2014-06-29 | 2014-09-17 | 谭希韬 | Chair back type self-service teller machine used for rapidly purchasing petty bank products |
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2015
- 2015-12-24 CN CN201510982933.XA patent/CN105426880A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174298A (en) * | 2006-11-02 | 2008-05-07 | 上海银晨智能识别科技有限公司 | Scattered-point high-volume face recognition system and recognizing method thereof |
| CN101420301A (en) * | 2008-04-21 | 2009-04-29 | 林格灵 | Human face recognizing identity authentication system |
| US20110087611A1 (en) * | 2009-10-14 | 2011-04-14 | Shyam Chetal | Biometric identification and authentication system for financial accounts |
| CN102800017A (en) * | 2012-07-09 | 2012-11-28 | 高艳玲 | Identity verification system based on face recognition |
| CN104050755A (en) * | 2014-06-29 | 2014-09-17 | 谭希韬 | Chair back type self-service teller machine used for rapidly purchasing petty bank products |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110858283A (en) * | 2018-08-23 | 2020-03-03 | 营利度富信息系统（上海）有限公司 | Application of face recognition in intelligent bank system |
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