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Method for acquiring palm print characteristics as well as corresponding personal identification method based on palm print

An acquisition method and palmprint technology, applied in character and pattern recognition, instruments, computing, etc., can solve the problems of difficult miniaturization, bulkiness, and high manufacturing cost

Inactive Publication Date: 2008-10-08
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The palmprint collection methods of the devices mentioned in these patent applications or patents have high requirements for the user’s operation, and the collection equipment needs to be customized and relatively bulky. At the same time, the palmprint-based identification methods of related equipment generally require a closed The acquisition environment relies on contact and acquisition methods with positioning devices. These characteristics lead to relatively high manufacturing costs when the traditional palmprint recognition algorithm is put into application, and it is difficult to miniaturize and the portability is not high.
[0004] CN1206609C, CN1184584C, CN1378176A have proposed a kind of palmprint recognition method respectively, but these methods all need high-precision image and specially-made high-cost acquisition equipment

Method used

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  • Method for acquiring palm print characteristics as well as corresponding personal identification method based on palm print
  • Method for acquiring palm print characteristics as well as corresponding personal identification method based on palm print
  • Method for acquiring palm print characteristics as well as corresponding personal identification method based on palm print

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Embodiment 1. Acquisition of palmprint features

[0055] (1) Palm image acquisition

[0056] The palm image acquisition method of the present invention does not require any positioning device. For example, in this embodiment, a digital camera directly connected to a computer is used to acquire palm images. When collecting images, keep your palm flat, with five fingers spread, facing the collection device, the palm plane parallel to the focal plane of the camera, and the distance between the palm and the collection device 30-50cm, so that the entire hand appears on the screen displayed by the computer, and then adjust the collection device until Clear imaging. This embodiment uses ambient light, which only requires that the ambient light be uniform and strong enough to ensure that there is no contrasting light and shadow on the collected palm; since the whole hand is photographed, the resolution of the collected image is above 320x240 Ensure enough information in the p...

Embodiment 2

[0085] Embodiment 2. Identification method based on palmprint

[0086] The palmprint feature map can be used for personal identification. Specifically include the following steps:

[0087] 1) A palmprint feature database is set up, wherein a plurality of identified palmprint feature maps are stored, and these palmprint feature maps are obtained by the aforementioned palmprint feature acquisition method, and the identity of the image owner is determined.

[0088] 2) Collect someone's palm image, and also perform image preprocessing, determination of the effective area of ​​the palm, and palmprint feature extraction to obtain the palmprint feature map.

[0089] 3) Compare the person's palmprint feature map obtained in step 2) with the palmprint feature map stored in the palmprint feature database to determine the degree of matching between the two, thereby authenticating their identity.

[0090] Feature comparison is to obtain the matching degree between two palmprint feature ...

Embodiment 3

[0102] Embodiment 3. Determine the diameter range of the inscribed circle of the palm effective area

[0103] At present, one of the most important parameters of biometric system performance evaluation is Equal Error Rate (Equal Error Rate), which means: after determining the similarity threshold t for judging whether two biometric features belong to the same individual, the error rate can be calculated. Rejection rate FRR (false rejection rate) and false acceptance rate FAR (false acceptance rate), the value when FRR and FAR are equal is EER. The lower the EER, the higher the recognition rate of the system. Among them, the meaning of FAR is the probability that the system mistakenly accepts an attacker to enter the system under a certain threshold, and its calculation can be simply divided by the number of false acceptances by all the recognition times. The meaning of FRR is the probability that the system mistakenly rejects the correct user to enter the system under a certa...

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Abstract

The invention provides a palm characteristic acquisition method and an identification method, including the steps of collecting the palm image, preprocessing the image, determining the effective area of the palm and extracting the palm characteristic and the like, wherein the effective area of the palm is defined as the inscribed circle closest to the tetradactyle bottom in the inscribed circle smaller than the D times (0.7<=D<=0.85) of the largest inscribed circle radius in the palm area, and the palm characteristic image is obtained through the binarization of the area. After obtaining the palm characteristic image of somebody, the registered palm characteristic image obtained by the same method is compared to determine the matchcing degree, namely processing the identification. The invention can process the collected palm image in the open environment, with no positioner in the non-contact way, under the premise, the palm collection device is simplified, the device is miniaturized, the application range of the identification method based on the palm is enlarged.

Description

technical field [0001] The invention belongs to the technical field of biological feature identification, and in particular relates to a method for acquiring palmprint features and a method for identifying identity by using the acquired palmprint features. Background technique [0002] Biometric identification technology is a technology that uses each person's unique biological characteristics to verify user identity. Since each person's biological characteristics are unique from others and stable within a certain period of time, it is not easy to forge and counterfeit, so the use of biometric technology for identification is safe, reliable and accurate. Palmprint feature information is rich, stable and easy to collect. Therefore, identification with palmprint features is highly secure, and the cost of acquisition equipment is relatively low. [0003] CN1154070C, CN1685357A, and CN1726867A each disclose a palmprint collection device and a corresponding palmprint recognitio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 唐大闰李文新许卓群
Owner PEKING UNIV
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