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Blood vessel identifying method and device

A recognition method and blood vessel technology, applied in the field of blood vessel recognition, can solve the problems of slow speed, high price, poor performance, etc., and achieve the effect of high stability, not easy to change, and easy to use

Inactive Publication Date: 2005-01-12
SOUTHEAST UNIV
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Problems solved by technology

However, the main reasons why fingerprint identification is still not popular in China and even in the world are: (1) slow speed: it takes several seconds or even longer for general system identification at present; (2) poor performance: false rejection rate (FRR) and false acceptance rate (FAR) is too high, and the systems currently on the market generally have FRR<3%, FAR<1 / 106; (3) High price: At present, domestically used foreign mature fingerprint recognition technology is mainly used, and most of the comparison systems use PCs handling, bulky and inconvenient to move

Method used

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  • Blood vessel identifying method and device
  • Blood vessel identifying method and device

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Embodiment Construction

[0032] Choose an embedded operating system

[0033]With the advancement of microelectronics technology, the manufacturing cost and sales price of chips have been greatly reduced, while the functions and internal supported ports have been greatly expanded. 16-bit and 32-bit processors have gradually become the mainstream of electronic product design. In order to shorten the product design cycle and running time, make the work more stable, reliable and efficient, and realize the required complex functions, an embedded operating system running on the processor is needed to form a complete system platform. Current embedded operating systems include, Microsoft Windows CE, Nucleus PLUS, pSOSystem, μC / OS-II, μclinux, etc. In principle, all the above systems can be used, and μC / OS-II is preferred for this system. Through cutting, the TCP / IP protocol can be added, and the TFTP protocol can be used for remote data upload and download.

[0034] System hardware selection and development...

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Abstract

The invention relates to method for recognizing human id by using bioassay technique. Operation steps are as following: (1) irradiating blood vessel part to be tested by using near infrared auxiliary light to collect texture image of blood vessel; (2) pretreatment of texture image including: carrying separation of background by using threshold tracking method of standard deviation to determine foreground and back ground, and removing noise through bilevel, then thinning operation; (3) distinguish out singular points, converting issue of authenticating vessel texture into the issue of dot mode matching; (4) converting point coordinates of singular point to polar coordinates, which is stored into database as template filed; (5) characteristic matching: locking reference position first, then carrying out comparison; in comparison template stored in database and user's PID number constitutes original template of characteristic data.

Description

technical field [0001] The invention is a method for quickly identifying and identifying people's identity by using biological identification technology, in particular a method for identifying blood vessels by combining blood vessel identification technology with embedded operating system technology. Background technique [0002] Biometric technology is one of the current research hotspots. At present, there are many biometric technologies that can be used for identity authentication, including: iris recognition, retina recognition, face recognition, signature recognition, voice recognition technology, fingerprint recognition technology, etc. The blood vessel recognition technology in this paper has the same lifetime invariance and stability as the fingerprint recognition technology, so it is a biometric system with good application prospects at present. However, the main reasons why fingerprint identification is still not popular in China and even...

Claims

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Application Information

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IPC IPC(8): G06K9/54G06K9/66
Inventor 季一峰李磊庄玉娟
Owner SOUTHEAST UNIV
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