Method for extracting features of palm in non-contact imaging mode

A feature extraction, non-contact technology, applied in character and pattern recognition, instruments, computer parts, etc., to achieve the effect of fast operation
CN103559489AInactive Publication Date: 2014-02-05SHENYANG POLYTECHNIC UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENYANG POLYTECHNIC UNIV
Publication Date
2014-02-05
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a method for extracting the features of a palm in a non-contact imaging mode. The method includes the steps that firstly, an incircle of the palm at the roots of fingers is extracted, and a plurality of radial line segments drawn from the incenter are intersected at a circumference; meanwhile, a template is constructed to calculate gradient values of points in the incircle, the relative radius of a center of mass is calculated according to the gradient values of the points on the line segments, the relative radius is defined into a feature parameter, and feature vector space is constructed. The features constructed through the method have the advantages of being unchanged in translation, rotation and scaling and short in feature extraction time.
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Description

Technical field:

[0001] The invention belongs to the technical field of biological feature recognition, and relates to a palm feature extraction method in a non-contact imaging mode. Background technique:

[0002] With the development of the times and the progress of society, the access control system increasingly needs an efficient and reliable identity authentication mechanism to determine the legitimacy of personnel entering and exiting a specific area. technology to identify identity. Because biometric features have the characteristics of "everyone owns, differs from person to person, and remains unchanged for a long time", and will not be forgotten or lost, it is more and more used in access control systems. According to the existing relevant literature, the biometrics currently available for access control systems include fingerprints, palm prints, veins, faces, irises, retinas, and human ears. Hand features are more widely used in many biological features because of...

Claims

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