CN103870831A - Method and device for extracting palm print features and obtaining palm print images - Google Patents
Method and device for extracting palm print features and obtaining palm print images Download PDFInfo
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- CN103870831A CN103870831A CN201410092753.XA CN201410092753A CN103870831A CN 103870831 A CN103870831 A CN 103870831A CN 201410092753 A CN201410092753 A CN 201410092753A CN 103870831 A CN103870831 A CN 103870831A
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Abstract
The invention discloses a method and a device for extracting palm print features and obtaining palm print images. The method for extracting the palm print features comprises the following steps of obtaining a palm print image sequence containing a plurality of frames of palm print images; extracting the data of the palm print features from the frames of palm print images; according to the extracted data of the palm print features from the frames of palm print images, obtaining the data of the palm print features for matching of palm prints. The method and the device have the advantage that the extracted data of palm print features from the palm print image sequence containing the frames of palm print images is the collection of data of palm print features independently extracted from one frame of palm print image, so the accuracy of palm print identification is improved.
Description
Technical field
The present invention relates to biological identification technology, relate in particular to method and device that a kind of palmprint feature extraction, palmprint image obtain.
Background technology
Due to features such as stability, uniqueness and the convenience of biological characteristic, carry out authentication using biological identification technology as means and replace gradually the identification mode traditional such as key, password etc.Biological identification technology refers to some biological characteristics that utilize human body, such as face, iris, fingerprint, palmmprint, hand shape etc., carry out the technology of identification, it mainly comprises: gather image, from the image gathering, extract biological information, subsequently extracted characteristic information is mated with the characteristic information of all or part registered in advance in database, according to matching result, this authenticatee is carried out to authentication.
Existing palmmprint recognition technology is obtained user's a frame palmprint image, from this obtained frame palmprint image, extracts palm print characteristics data, mates, thereby realize palmmprint identification with the palm print characteristics data in database.But, in actual applications, due to image definition, ambient light, the reasons such as in the identification of contactless palmmprint palm position is fixing, the palm print characteristics data of extracting from single frames palmprint image, lower with the palm print characteristics Data Matching degree in database, cause the accuracy of palmmprint identification low.
Summary of the invention
Technical matters to be solved by this invention is to provide method and the device that a kind of palmprint feature extraction, palmprint image obtain, to solve the low problem of prior art palmmprint recognition accuracy.
According to an aspect of the present invention, provide a kind of Palmprint feature extraction for palmmprint identification, comprising:
Obtain the palmprint image sequence that comprises multiframe palmprint image;
From described multiframe palmprint image, extract palm print characteristics data;
According to the palm print characteristics data of extracting, obtain the palm print characteristics data for palmmprint coupling from this multiframe palmprint image.
According to another aspect of the present invention, also provide a kind of palmprint image acquisition methods for palmmprint identification, having comprised:
Obtain a palmprint image sequence, described palmprint image sequence comprises multiframe palmprint image;
Palmmprint collection by described multiframe palmprint image for palmmprint identification registration phase and/or cognitive phase.
According to a further aspect of the invention, also provide a kind of palmprint feature extraction device for palmmprint identification, having comprised:
The first palmprint image retrieval device, for obtaining the palmprint image sequence that comprises multiframe palmprint image;
The first palm print characteristics data extraction device, for extracting palm print characteristics data from described multiframe palmprint image;
The second palm print characteristics data acquisition facility, for according to the palm print characteristics data of extracting from this multiframe palmprint image, obtains the palm print characteristics data for palmmprint coupling.
According to a further aspect of the invention, also provide a kind of palmprint image acquisition device for palmmprint identification, having comprised:
The second palmprint image retrieval device, for obtaining a palmprint image sequence, described palmprint image sequence comprises multiframe palmprint image;
Palmprint image application apparatus, for the palmmprint collection for palmmprint identification registration phase and/or cognitive phase by described multiframe palmprint image.
Compared with prior art, the present invention has the following advantages: the present invention extracts palm print characteristics data from the palmprint image sequence that comprises multiframe palmprint image, the palm print characteristics data of extracting from the palmprint image sequence that comprises multiframe palmprint image, be the set of the independent palm print characteristics data of extracting from a frame palmprint image, thereby improved the accuracy of palmmprint identification.
Brief description of the drawings
By reading the detailed description that non-limiting example is done of doing with reference to the following drawings, it is more obvious that other features, objects and advantages of the present invention will become:
Fig. 1 is a kind of according to an embodiment of the invention Palmprint feature extraction process flow diagram for palmmprint identification;
Fig. 2 is a kind of according to an embodiment of the invention palmprint image acquisition methods process flow diagram for palmmprint identification;
Fig. 3 is a kind of according to an embodiment of the invention palmprint feature extraction device schematic diagram for palmmprint identification;
Fig. 4 is a kind of according to an embodiment of the invention palmprint image acquisition device schematic diagram for palmmprint identification.
In accompanying drawing, same or analogous Reference numeral represents same or analogous parts.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail.
In the present invention, it includes but not limited to any mobile electronic product that can carry out with user man-machine interaction by keyboard, touch pad or voice-operated device subscriber equipment, for example smart mobile phone, PDA(palm PC, Personal Digital Assistant).Those skilled in the art will be understood that other subscriber equipment, as applicable to the present invention, also should be included in protection domain of the present invention, and be contained in this at this with way of reference.
Fig. 1 shows a kind of according to an embodiment of the invention Palmprint feature extraction process flow diagram for palmmprint identification.
As shown in Figure 1, in step S101, subscriber equipment obtains the palmprint image sequence that comprises multiframe palmprint image.
Particularly, subscriber equipment can obtain one section of video about palmprint image, extracts palmprint image sequence the video from this section about palmprint image, and this palmprint image sequence comprises multiframe palmprint image.
In step S102, subscriber equipment extracts palm print characteristics data from described multiframe palmprint image.
In step S103, subscriber equipment, according to the palm print characteristics data of extracting from this multiframe palmprint image, obtains the palm print characteristics data for palmmprint coupling.
Particularly, the palm print characteristics data that described subscriber equipment can extract each the frame palmprint image from described multiframe palmprint image, mate with the palm print characteristics data that prestore respectively, obtain the palm print characteristics data of extracting from described each frame palmprint image, with described in multiple palm print characteristics data subsets of the palm print characteristics Data Matching that prestores, subsequently, subscriber equipment, according to described multiple palm print characteristics data subsets, obtains the palm print characteristics data for palmmprint coupling.
To extract palm print characteristics data instance from two frame palmprint images, subscriber equipment is by the palm print characteristics data of extracting from this two frames palmprint image, mate with the palm print characteristics data that prestore respectively, obtain the palm print characteristics data extracted from each frame palmprint image, with described in two palm print characteristics data subset A and the B of the palm print characteristics Data Matching that prestores, subscriber equipment obtains the palm print characteristics data for palmmprint coupling according to palm print characteristics data subset A and B subsequently.
Wherein, subscriber equipment can, according to following at least one mode, obtain the palm print characteristics data for palmmprint coupling according to described multiple palm print characteristics data subsets:
A) using the union of described multiple palm print characteristics data subsets as the palm print characteristics data for palmmprint coupling.For example, palm print characteristics data subset A comprises palm print characteristics data { a, b, c, d}, palm print characteristics data subset B comprise palm print characteristics data c, d, e, f}, by the union { a of palm print characteristics data subset A and B, b, c, d, e, f} is as the palm print characteristics data for palmmprint coupling.
B) the palm print characteristics data that multiplicity in described multiple palm print characteristics data subsets reached to pre-determined number are as the palm print characteristics data for palmmprint coupling.For example palm print characteristics data subset A comprises palm print characteristics data { a, b, c, d}, palm print characteristics data subset B comprises palm print characteristics data { a, b, e, f}, palm print characteristics data subset C comprises palm print characteristics data { a, c, g, h}, in the time that pre-determined number is 2, palm print characteristics data { a, b, c} is at palm print characteristics data subset A, B, and in C, multiplicity reaches pre-determined number 2, by palm print characteristics data, { c} is as the palm print characteristics data for palmmprint coupling for a, b.
C) using the sequence of multiplicity in described multiple palm print characteristics data subsets in the palm print characteristics data of front predetermined number as the palm print characteristics data for palmmprint coupling.For example palm print characteristics data subset A comprises palm print characteristics data { a, b, c, d}, palm print characteristics data subset B comprises palm print characteristics data { a, b, e, f}, palm print characteristics data subset C comprises palm print characteristics data { a, c, g, h}, palm print characteristics data subset D comprises palm print characteristics data { a, b, i, j}, in the time that predetermined number is 3, in described four palm print characteristics data subset ABCD, the sequence of multiplicity is { a in front 3 palm print characteristics data, b, c}, by the sequence of multiplicity in described four palm print characteristics data subset ABCD at front 3 palm print characteristics data { a, b, c} is as the palm print characteristics data for palmmprint coupling.
Wherein, described pre-determined number and predetermined number can arrange according to the parameter such as accuracy, degree of accuracy of the kind of the palm print characteristics data specifically for palmmprint identification, palmmprint identification.The kind of described palm print characteristics data includes but not limited to: blur direction energy feature, wavelet energy feature, palmmprint line structural characteristics, image phase and direction character etc.
It will be appreciated by those skilled in the art that; kind, pre-determined number and the predetermined number of above-mentioned palm print characteristics data is only for giving an example; kind, pre-determined number and the predetermined number of other palm print characteristics data is as applicable to the present invention; also should be included in protection domain of the present invention, and be contained in this with way of reference.
Wherein, the Palmprint feature extraction for palmmprint identification of the present embodiment can be used for the palmprint feature extraction of palmmprint recognition technology registration phase and cognitive phase.
Wherein, the present embodiment can be used for the palmmprint recognition technology of contact and contactless palmmprint recognition technology.
Fig. 2 shows a kind of according to an embodiment of the invention palmprint image acquisition methods process flow diagram for palmmprint identification.
As shown in Figure 2, in step S201, subscriber equipment obtains a palmprint image sequence, and described palmprint image sequence comprises multiframe palmprint image.
In step S202, subscriber equipment is the palmmprint collection for palmmprint identification registration phase and/or cognitive phase by described multiframe palmprint image.
In prior art, due to image definition, ambient light, the reasons such as in the identification of contactless palmmprint palm position is fixing, the palm print characteristics data of extracting from single frames palmprint image, lower with the palm print characteristics Data Matching degree in database, cause the accuracy of palmmprint identification low, be unfavorable for the application of palmmprint recognition technology.Compared with prior art, the present invention extracts palm print characteristics data from the palmprint image sequence that comprises multiframe palmprint image, the palm print characteristics data of extracting from the palmprint image sequence that comprises multiframe palmprint image, be the set of the independent palm print characteristics data of extracting from a frame palmprint image, thereby improved the accuracy of palmmprint identification.
Fig. 3 shows a kind of according to an embodiment of the invention palmprint feature extraction device schematic diagram for palmmprint identification.The described palmprint feature extraction device for palmmprint identification comprises: the first palmprint image retrieval device 301, the first palm print characteristics data extraction device 302, the second palm print characteristics data acquisition facilities 303.
Wherein, the first palmprint image retrieval device 301, for obtaining the palmprint image sequence that comprises multiframe palmprint image.
Particularly, the first palmprint image retrieval device 301 can obtain one section of video about palmprint image, extracts palmprint image sequence the video from this section about palmprint image, and this palmprint image sequence comprises multiframe palmprint image.
The first palm print characteristics data extraction device 302, for extracting palm print characteristics data from described multiframe palmprint image.
The second palm print characteristics data acquisition facility 303, for according to the palm print characteristics data of extracting from this multiframe palmprint image, obtains the palm print characteristics data for palmmprint coupling.
Particularly, described the second palm print characteristics data acquisition facility 303 can comprise: palm print characteristics data subset acquisition module (not shown), be used for the palm print characteristics data of extracting from each frame palmprint image of described multiframe palmprint image, mate with the palm print characteristics data that prestore respectively, obtain the palm print characteristics data of extracting from described each frame palmprint image, with described in multiple palm print characteristics data subsets of the palm print characteristics Data Matching that prestores; With palm print characteristics data acquisition module (not shown), for according to described multiple palm print characteristics data subsets, obtain the palm print characteristics data for palmmprint coupling.
To extract palm print characteristics data instance from two frame palmprint images, palm print characteristics data subset acquisition module is by the palm print characteristics data of extracting from this two frames palmprint image, mate with the palm print characteristics data that prestore respectively, obtain the palm print characteristics data extracted from each frame palmprint image, with described in two palm print characteristics data subset A and the B of the palm print characteristics Data Matching that prestores, palm print characteristics data acquisition module obtains the palm print characteristics data for palmmprint coupling according to palm print characteristics data subset A and B subsequently.
Wherein, palm print characteristics data acquisition module can comprise following at least one submodule:
A) the first palm print characteristics data acquisition submodule (not shown), for using the union of described multiple palm print characteristics data subsets as the palm print characteristics data for palmmprint coupling.For example, palm print characteristics data subset A comprises palm print characteristics data { a, b, c, d}, palm print characteristics data subset B comprise palm print characteristics data c, d, e, f}, by the union { a of palm print characteristics data subset A and B, b, c, d, e, f} is as the palm print characteristics data for palmmprint coupling.
B) the second palm print characteristics data acquisition submodule (not shown), for using the palm print characteristics data that reach pre-determined number in described multiple palm print characteristics data subset multiplicity as the palm print characteristics data for palmmprint coupling.For example palm print characteristics data subset A comprises palm print characteristics data { a, b, c, d}, palm print characteristics data subset B comprises palm print characteristics data { a, b, e, f}, palm print characteristics data subset C comprises palm print characteristics data { a, c, g, h}, in the time that pre-determined number is 2, palm print characteristics data { a, b, c} is at palm print characteristics data subset A, B, and in C, multiplicity reaches pre-determined number 2, by palm print characteristics data, { c} is as the palm print characteristics data for palmmprint coupling for a, b.
C) the 3rd palm print characteristics data acquisition submodule (not shown), for using the sequence in described multiple palm print characteristics data subset multiplicity in the palm print characteristics data of front predetermined number as the palm print characteristics data for palmmprint coupling.For example palm print characteristics data subset A comprises palm print characteristics data { a, b, c, d}, palm print characteristics data subset B comprises palm print characteristics data { a, b, e, f}, palm print characteristics data subset C comprises palm print characteristics data { a, c, g, h}, palm print characteristics data subset D comprises palm print characteristics data { a, b, i, j}, in the time that predetermined number is 3, in described four palm print characteristics data subset ABCD, the sequence of multiplicity is { a in front 3 palm print characteristics data, b, c}, by the sequence of multiplicity in described four palm print characteristics data subset ABCD at front 3 palm print characteristics data { a, b, c} is as the palm print characteristics data for palmmprint coupling.
Wherein, described pre-determined number and predetermined number can arrange according to the parameter such as accuracy, degree of accuracy of the kind of the palm print characteristics data specifically for palmmprint identification, palmmprint identification.The kind of described palm print characteristics data includes but not limited to: blur direction energy feature, wavelet energy feature, palmmprint line structural characteristics, image phase and direction character etc.
It will be appreciated by those skilled in the art that; kind, pre-determined number and the predetermined number of above-mentioned palm print characteristics data is only for giving an example; kind, pre-determined number and the predetermined number of other palm print characteristics data is as applicable to the present invention; also should be included in protection domain of the present invention, and be contained in this with way of reference.
Wherein, the Palmprint feature extraction for palmmprint identification of the present embodiment can be used for the palmprint feature extraction of palmmprint recognition technology registration phase and cognitive phase.
Wherein, the present embodiment can be used for the palmmprint recognition technology of contact and contactless palmmprint recognition technology.
Fig. 4 shows a kind of according to an embodiment of the invention palmprint image acquisition device schematic diagram for palmmprint identification.The described palmprint image acquisition device for palmmprint identification comprises: the second palmprint image retrieval device 401, palmprint image application apparatus 402.
Wherein, the second palmprint image retrieval device 401, for obtaining a palmprint image sequence, described palmprint image sequence comprises multiframe palmprint image.
Palmprint image application apparatus 402, for the palmmprint collection for palmmprint identification registration phase and/or cognitive phase by described multiframe palmprint image.
In prior art, due to image definition, ambient light, the reasons such as in the identification of contactless palmmprint palm position is fixing, the palm print characteristics data of extracting from single frames palmprint image, lower with the palm print characteristics Data Matching degree in database, cause the accuracy of palmmprint identification low, be unfavorable for the application of palmmprint recognition technology.Compared with prior art, the present invention extracts palm print characteristics data from the palmprint image sequence that comprises multiframe palmprint image, the palm print characteristics data of extracting from the palmprint image sequence that comprises multiframe palmprint image, be the set of the independent palm print characteristics data of extracting from a frame palmprint image, thereby improved the accuracy of palmmprint identification.
It should be noted that the present invention can be implemented in the assembly of software and/or software and hardware, for example, each device of the present invention can adopt special IC (ASIC) or any other similar hardware device to realize.In one embodiment, software program of the present invention can carry out to realize step mentioned above or function by processor.Similarly, software program of the present invention (comprising relevant data structure) can be stored in computer readable recording medium storing program for performing, for example, and RAM storer, magnetic or CD-ROM driver or flexible plastic disc and similar devices.In addition, steps more of the present invention or function can adopt hardware to realize, for example, thereby as coordinate the circuit of carrying out each step or function with processor.
To those skilled in the art, obviously the invention is not restricted to the details of above-mentioned example embodiment, and in the situation that not deviating from spirit of the present invention or essential characteristic, can realize the present invention with other concrete form.Therefore, no matter from which point, all should regard embodiment as exemplary, and be nonrestrictive, scope of the present invention is limited by claims instead of above-mentioned explanation, is therefore intended to all changes that drop in the implication and the scope that are equal to important document of claim to be included in the present invention.Any Reference numeral in claim should be considered as limiting related claim.In addition, obviously other unit or step do not got rid of in " comprising " word, and odd number is not got rid of plural number.Multiple unit of stating in system claim or device also can be realized by software or hardware by a unit or device.The first, the second word such as grade is used for representing title, and does not represent any specific order.
Claims (12)
1. for a Palmprint feature extraction for palmmprint identification, it is characterized in that, comprising:
Obtain the palmprint image sequence that comprises multiframe palmprint image;
From described multiframe palmprint image, extract palm print characteristics data;
According to the palm print characteristics data of extracting, obtain the palm print characteristics data for palmmprint coupling from this multiframe palmprint image.
2. method according to claim 1, is characterized in that, the palm print characteristics data that described basis is extracted from this multiframe palmprint image are obtained for the palm print characteristics data of palmmprint coupling and comprised:
The palm print characteristics data that each frame palmprint image from described multiframe palmprint image is extracted, mate with the palm print characteristics data that prestore respectively, obtain the palm print characteristics data of extracting from described each frame palmprint image, with described in multiple palm print characteristics data subsets of the palm print characteristics Data Matching that prestores;
According to described multiple palm print characteristics data subsets, obtain the palm print characteristics data for palmmprint coupling.
3. method according to claim 2, is characterized in that, described according to multiple palm print characteristics data subsets, obtains for the palm print characteristics data of palmmprint coupling and comprises:
Using the union of described multiple palm print characteristics data subsets as the palm print characteristics data for palmmprint coupling.
4. method according to claim 2, is characterized in that, described according to multiple palm print characteristics data subsets, obtains for the palm print characteristics data of palmmprint coupling and comprises:
The palm print characteristics data that multiplicity in described multiple palm print characteristics data subsets is reached to pre-determined number are as the palm print characteristics data for palmmprint coupling.
5. method according to claim 2, is characterized in that, described according to multiple palm print characteristics data subsets, obtains for the palm print characteristics data of palmmprint coupling and comprises:
Using the sequence of multiplicity in described multiple palm print characteristics data subsets in the palm print characteristics data of front predetermined number as the palm print characteristics data for palmmprint coupling.
6. for a palmprint image acquisition methods for palmmprint identification, it is characterized in that, comprising:
Obtain a palmprint image sequence, described palmprint image sequence comprises multiframe palmprint image;
Palmmprint collection by described multiframe palmprint image for palmmprint identification registration phase and/or cognitive phase.
7. for a palmprint feature extraction device for palmmprint identification, it is characterized in that, comprising:
The first palmprint image retrieval device, for obtaining the palmprint image sequence that comprises multiframe palmprint image;
The first palm print characteristics data extraction device, for extracting palm print characteristics data from described multiframe palmprint image;
The second palm print characteristics data acquisition facility, for according to the palm print characteristics data of extracting from this multiframe palmprint image, obtains the palm print characteristics data for palmmprint coupling.
8. device according to claim 7, is characterized in that, described the second palm print characteristics data acquisition facility comprises:
Palm print characteristics data subset acquisition module, be used for the palm print characteristics data of extracting from each frame palmprint image of described multiframe palmprint image, mate with the palm print characteristics data that prestore respectively, obtain the palm print characteristics data of extracting from described each frame palmprint image, with described in multiple palm print characteristics data subsets of the palm print characteristics Data Matching that prestores;
Palm print characteristics data acquisition module, for according to described multiple palm print characteristics data subsets, obtains the palm print characteristics data for palmmprint coupling.
9. device according to claim 8, is characterized in that, described palm print characteristics data acquisition module comprises:
The first palm print characteristics data acquisition submodule, for using the union of described multiple palm print characteristics data subsets as the palm print characteristics data for palmmprint coupling.
10. device according to claim 8, is characterized in that, described palm print characteristics data acquisition module comprises:
The second palm print characteristics data acquisition submodule, for using the palm print characteristics data that reach pre-determined number in described multiple palm print characteristics data subset multiplicity as the palm print characteristics data for palmmprint coupling.
11. devices according to claim 8, is characterized in that, described palm print characteristics data acquisition module comprises:
The 3rd palm print characteristics data acquisition submodule, for using the sequence in described multiple palm print characteristics data subset multiplicity in the palm print characteristics data of front predetermined number as the palm print characteristics data for palmmprint coupling.
12. 1 kinds of palmprint image acquisition device for palmmprint identification, is characterized in that, comprising:
The second palmprint image retrieval device, for obtaining a palmprint image sequence, described palmprint image sequence comprises multiframe palmprint image;
Palmprint image application apparatus, for the palmmprint collection for palmmprint identification registration phase and/or cognitive phase by described multiframe palmprint image.
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| CN104333073A (en) * | 2014-11-10 | 2015-02-04 | 安徽省新方尊铸造科技有限公司 | Electric bicycle charging socket based on palm print recognition technology |
| CN108256528A (en) * | 2018-01-24 | 2018-07-06 | 四川政安通科技有限公司 | Fingers and palms line safety-protection system |
| US20220092322A1 (en) * | 2014-10-24 | 2022-03-24 | Nec Corporation | Biometric imaging device, biometric imaging method and program |
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