CN105117702A - Vena metacarpea image identifying device - Google Patents
Vena metacarpea image identifying device Download PDFInfo
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- CN105117702A CN105117702A CN201510518702.3A CN201510518702A CN105117702A CN 105117702 A CN105117702 A CN 105117702A CN 201510518702 A CN201510518702 A CN 201510518702A CN 105117702 A CN105117702 A CN 105117702A
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- vena metacarpea
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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
- G06V40/13—Sensors therefor
- G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
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- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a vena metacarpea image identifying method, comprising: collecting hand vena metacarpea images through an image acquisition device; graying color images; determining and marking an identification area according to the size of a connected region; generating a marked area into a 2DPCA characteristic database; partitioning pixels in the characteristic database; performing gauss noise reduction processing on partitioned pixels; performing weighting treatment on the projection matrix of each sub-block after blocking partition; removing the salt and pepper noise of the obtained result through weighting treatment to obtain characteristic data; and comparing the obtained characteristic data with the sample database in a sample database to obtain an identification result. The vena metacarpea image identifying method has a false reject rate less than 0.001%, and a false accept rate less than 0.00001%, possesses the characteristics of less operational data and short time, and facilitates industrialization.
Description
Technical field
The present invention relates to digital processing field, a kind of vena metacarpea pattern recognition device particularly in this field.
Background technology
Along with the arrival of information age, the security of information and confidentiality cause the general concern of people.Vena metacarpea intelligent biological identification and authentication is a kind of living things feature recognition based on live body and authentication techniques, its principle be according to the protoheme in blood near infrared absorption, take out vena metacarpea distribution plan, carry out Image semantic classification, extract eigenwert, pattern match, thus automatically identify target.The whole dependence on import of relevant vena metacarpea intelligent biological identification product needed for strategic field such as domesticly at present have the national defence of high requirement, finance to authentication, maintain secrecy, and expensive, domesticly not yet forms complete software and hardware architecture structure.
Chinese invention patent application CN102609697A discloses a kind of tendril model modelling approach for the identification of hand vein three-dimensional feature.First homogeneous by caliber, rattan classification, node partition, spread constraint four principles and simplify and abstract hand venous space structure; Then the element of tendril model, attribute and mathematical description is provided; The data structure of tendril model is finally utilized to draw vein stereo-picture.Adopt hand vein tendril model to instruct three-dimensional reconstruction, the impact of some factors can be weakened, such as: repair the vein of fracture, reject burr and noise, matching venous space curve; By the three-dimensional venous space Structural abstraction of complexity and simplification, the tissue of data and the extraction of feature can be convenient to.But it is many that this processing mode exists operational data, speed is slow, and the shortcoming that the stand-by period is long is difficult to industrialized implementation.
Summary of the invention
Technical matters to be solved by this invention, is just to provide a kind of stand-by period short, is beneficial to the vena metacarpea pattern recognition device of industrialized implementation.
In order to solve the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of vena metacarpea pattern recognition device, its improvements are: described device comprises identification module, the image processing module be electrically connected with identification module, the central processing module be electrically connected with image processing module, the matching analysis module be electrically connected with central processing module, the sample library module be electrically connected with matching analysis module, output module is electrically connected with central processing module.
Further, in described identification module, near infrared ray light source, interference filtering unit, hand rest and induction start unit are installed.
Further, described image processing module comprises sample process unit and feature extraction unit.
Further, described central processing module comprises sample typing unit and authentication ' unit.
Further, described matching analysis module comprises sample comparing unit and sample analysis unit.
Further, described sample library module comprises decompress(ion) compression unit and encrypting and decrypting unit.
Further, described output module is electronic touch screen.
Further, described central processing module is X86 or DSP.
The invention has the beneficial effects as follows:
Vena metacarpea pattern recognition device disclosed in this invention, refuses sincere <0.001%, accuracy of system identification <0.00001%, and the stand-by period is short, is beneficial to the gate control system in all kinds of office, community, building, household; The safe examination system of frontier defense, customs, airport, station, key departments, important guild hall; The various Verification System needing confirmation identity; National treasury, armament depot, archive office, laboratory, secret room, proof box, critical facility equipment and instrument instrument management; Prison administration; Industrialized implementation is carried out in attendance management etc. field.
Accompanying drawing explanation
Fig. 1 is the syndeton schematic diagram of the vena metacarpea pattern recognition device disclosed in the embodiment of the present invention 1.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Embodiment 1, as shown in Figure 1, present embodiment discloses a kind of vena metacarpea pattern recognition device, described device comprises the identification module for obtaining vena metacarpea image; Be electrically connected with identification module, for carrying out the image processing module of digital processing to vena metacarpea image; Being electrically connected with image processing module, identifying for carrying out the central processing module judged; Be electrically connected with central processing module, for the matching analysis module that the sample in vena metacarpea image that identification module is obtained and Sample Storehouse compares; Be electrically connected with matching analysis module, for the sample library module of stored samples data; Output module is electrically connected with central processing module.In described identification module, near infrared ray light source, interference filtering unit, hand rest and induction start unit are installed.Described image processing module comprises sample process unit and feature extraction unit.Described central processing module comprises sample typing unit and authentication ' unit.Described matching analysis module comprises sample comparing unit and sample analysis unit.Described sample library module comprises decompress(ion) compression unit and encrypting and decrypting unit.Described output module is electronic touch screen.Described central processing module is X86 or DSP.
Device disclosed in the present embodiment uses following vena metacarpea image-recognizing method, comprises the steps:
(1) collection of hand vena metacarpea image is carried out by image collecting device, by near infrared camera with equally spaced time shutter and frame period continuous acquisition N two field picture, in the present embodiment, described N=25, time shutter=3ms.
(2) coloured image gray processing;
(3) by judging the size determination identified region of connected region area and marking, described connected region is palm.
(4) 2DPCA feature database is generated to marked region;
(5) carry out piecemeal to the pixel in feature database, described method of partition is for being divided into p capable, and q arranges, and forms sub-block set A
i, i=p × q, wherein p=17942, q=28542;
(6) Gauss's noise reduction process is carried out to piecemeal pixel;
(7) projection matrix of sub-block each after piecemeal is weighted process, the described authority processing method that adds is Z
ki=B
iw ta
ki, wherein A
kirepresent kth i sub-image, B represents the projection matrix of column direction;
(8) remove the salt-pepper noise of weighting process acquired results, obtain characteristic;
(9) sample data in the characteristic of gained and sample database is compared, obtain recognition result.
System, device, module or unit that above-described embodiment is illustrated, specifically can be realized by computer chip or entity, or be realized by the product with certain function.
For convenience of description, various unit is divided into describe respectively with function when describing above device.Certainly, the function of each unit can be realized in same or multiple software and/or hardware when implementing the application.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the application can add required general hardware platform by software and realizes.Based on such understanding, the technical scheme of the application can embody with the form of software product the part that prior art contributes in essence in other words, in one typically configuration, computing equipment comprises one or more processor (CPU), input/output interface, network interface and internal memory.This computer software product can comprise the method some part described in of some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform each embodiment of the application or embodiment.This computer software product can be stored in internal memory, internal memory may comprise the volatile memory in computer-readable medium, the forms such as random access memory (RAM) and/or Nonvolatile memory, as ROM (read-only memory) (ROM) or flash memory (flashRAM).Internal memory is the example of computer-readable medium.Computer-readable medium comprises permanent and impermanency, removable and non-removable media can be stored to realize information by any method or technology.Information can be computer-readable instruction, data structure, the module of program or other data.The example of the storage medium of computing machine comprises, but be not limited to phase transition internal memory (PRAM), static RAM (SRAM), dynamic RAM (DRAM), the random access memory (RAM) of other types, ROM (read-only memory) (ROM), Electrically Erasable Read Only Memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc ROM (read-only memory) (CD-ROM), digital versatile disc (DVD) or other optical memory, magnetic magnetic tape cassette, tape magnetic rigid disk stores or other magnetic storage apparatus or any other non-transmitting medium, can be used for storing the information can accessed by computing equipment.According to defining herein, computer-readable medium does not comprise of short duration computer readable media (transitorymedia), as data-signal and the carrier wave of modulation.
Although depict the application by embodiment, those of ordinary skill in the art know, the application has many distortion and change and do not depart from the spirit of the application, and the claim appended by wishing comprises these distortion and change and do not depart from the spirit of the application.
Claims (8)
1. a vena metacarpea pattern recognition device, it is characterized in that: described device comprises identification module, the image processing module be electrically connected with identification module, the central processing module be electrically connected with image processing module, the matching analysis module be electrically connected with central processing module, the sample library module be electrically connected with matching analysis module, output module is electrically connected with central processing module.
2. vena metacarpea pattern recognition device according to claim 1, is characterized in that: install near infrared ray light source, interference filtering unit, hand rest and induction start unit in described identification module.
3. vena metacarpea pattern recognition device according to claim 1, is characterized in that: described image processing module comprises sample process unit and feature extraction unit.
4. vena metacarpea pattern recognition device according to claim 1, is characterized in that: described central processing module comprises sample typing unit and authentication ' unit.
5. vena metacarpea pattern recognition device according to claim 1, is characterized in that: described matching analysis module comprises sample comparing unit and sample analysis unit.
6. vena metacarpea pattern recognition device according to claim 1, is characterized in that: described sample library module comprises decompress(ion) compression unit and encrypting and decrypting unit.
7. vena metacarpea pattern recognition device according to claim 1, is characterized in that: described output module is electronic touch screen.
8. vena metacarpea pattern recognition device according to claim 4, is characterized in that: described central processing module is X86 or DSP.
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| CN201510518702.3A CN105117702A (en) | 2015-08-20 | 2015-08-20 | Vena metacarpea image identifying device |
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| CN201510518702.3A CN105117702A (en) | 2015-08-20 | 2015-08-20 | Vena metacarpea image identifying device |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107273844A (en) * | 2017-06-12 | 2017-10-20 | 成都芯软科技股份公司 | Vena metacarpea recognizes matching process and device |
| CN107679551A (en) * | 2017-09-11 | 2018-02-09 | 电子科技大学 | A kind of recognition methods for emerging in large numbers phenomenon based on point shape |
| CN111144323A (en) * | 2019-12-28 | 2020-05-12 | 广东智冠信息技术股份有限公司 | Palm vein biological feature recognition registry self-adaptive change method |
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| CN101196987A (en) * | 2007-12-25 | 2008-06-11 | 哈尔滨工业大学 | On-line palm print, palm vein image personal identification method and its special capturing instrument |
| CN102116113A (en) * | 2010-12-27 | 2011-07-06 | 北京天公瑞丰科技有限公司 | Security box unlocking system based on palm vein authentication and method thereof |
| CN102122402A (en) * | 2010-12-27 | 2011-07-13 | 北京天公瑞丰科技有限公司 | Access control system based on palm vein authentication and authentication method using same |
| CN204258901U (en) * | 2014-04-15 | 2015-04-08 | 深圳市中科微光医疗器械技术有限公司 | For mobile terminal palm vein identification device and comprise its smart mobile phone |
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2015
- 2015-08-20 CN CN201510518702.3A patent/CN105117702A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101196987A (en) * | 2007-12-25 | 2008-06-11 | 哈尔滨工业大学 | On-line palm print, palm vein image personal identification method and its special capturing instrument |
| CN102116113A (en) * | 2010-12-27 | 2011-07-06 | 北京天公瑞丰科技有限公司 | Security box unlocking system based on palm vein authentication and method thereof |
| CN102122402A (en) * | 2010-12-27 | 2011-07-13 | 北京天公瑞丰科技有限公司 | Access control system based on palm vein authentication and authentication method using same |
| CN204258901U (en) * | 2014-04-15 | 2015-04-08 | 深圳市中科微光医疗器械技术有限公司 | For mobile terminal palm vein identification device and comprise its smart mobile phone |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107273844A (en) * | 2017-06-12 | 2017-10-20 | 成都芯软科技股份公司 | Vena metacarpea recognizes matching process and device |
| CN107679551A (en) * | 2017-09-11 | 2018-02-09 | 电子科技大学 | A kind of recognition methods for emerging in large numbers phenomenon based on point shape |
| CN107679551B (en) * | 2017-09-11 | 2020-06-16 | 电子科技大学 | Identification method of emergence phenomenon based on fractal |
| CN111144323A (en) * | 2019-12-28 | 2020-05-12 | 广东智冠信息技术股份有限公司 | Palm vein biological feature recognition registry self-adaptive change method |
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