Method applied to palm shape extraction and feature positioning in high-freedom degree palm image

Abstract

The invention discloses a method applied to palm shape extraction and feature positioning in a high-freedom degree palm image, which can be suitable for the palm shape extraction and the feature positioning in the high-freedom degree palm image and has favorable adaptability to the classes, the placing positions and the angles of left and right hands, and palm shapes and sizes and finger opening and closing degrees in the palm image. Based on the distance of lower edge points of palm-shaped corrective gravity-center polar coordinates and the distribution regularity of angles, the method realizes the positioning of finger pits of finger tips of the palm-shaped zone in the palm image so as to judge the left and the right hand class of the extracted palm and calculate the rotating angle of the palm. The output results of the method are the integral palm shape and the positioning characteristic point of the palm image, users can conveniently complete the positioning and the extraction of various characteristics comprising the palm shape, palm prints, fingerprints and the like of a palm sample through the data, and therefore, the method has universality. Through the test of self-established high-freedom degree palm image library, the result indicates that the method has high precision rate and robustness.

Description

technical field [0001] The invention belongs to the technical field of computer image collection, and in particular relates to a method for palm shape extraction and feature location applied to high-degree-of-freedom palm images. Background technique [0002] Palm features, including fingerprints, palm prints, palm shapes, etc., are an important research branch of biometric identification technology (Biometric Identification Technology). The characteristics of the palm part have the characteristics of high ease of use, few influencing factors of misidentification, high accuracy, high security level, and long-term stability. Therefore, the development of fingerprint recognition technology has always attracted much attention, and the recognition of palmprint and palm shape features has gradually received attention in recent years. [0003] Palm image acquisition and palm feature location are indispensable prerequisites for palm feature recognition. Research in this field has ...

AI Technical Summary

Problems solved by technology

However, for these two collection devices, the window size of the former is fixed, and it is difficult to adapt to the collection of palms of different sizes; the use of the positioning pin of the latter requires the user to have special guidance or training; both still have the defects of not being universally applicable to left and right hands and poor comfort

[0004] The existing palm print acquisition equip

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