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A Palm Vein Recognition Method Fused with Texture Features and Scale Invariant Features

A technology of scale-invariant features and texture features, applied in the field of pattern recognition, it can solve the problems of no special advantage in accuracy, time-consuming, and reduction of misrecognition rate, etc. The effect of higher recognition rate

Active Publication Date: 2020-05-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method takes a relatively long time and has no special advantage in accuracy, but it is effective in distinguishing palm veins of different people, which can effectively reduce the false recognition rate

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  • A Palm Vein Recognition Method Fused with Texture Features and Scale Invariant Features
  • A Palm Vein Recognition Method Fused with Texture Features and Scale Invariant Features
  • A Palm Vein Recognition Method Fused with Texture Features and Scale Invariant Features

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Embodiment Construction

[0024] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0025] figure 1 It is a flow chart of a specific embodiment of the palm vein recognition method that combines texture features and scale-invariant features in the present invention.

[0026] In this example, if figure 1 As shown, the palm vein recognition method of the present invention fusion texture feature and scale-invariant feature comprises the following steps:

[0027] Step S1: Establish NBP feature encoding library and SIFT feature library

[0028] The NBP (texture feature) feature encoding library and SIFT (scale invariant feature) feature library are establishe...

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Abstract

The invention discloses a palm vein recognition method that combines texture features and scale-invariant features. The NBP algorithm is used for preliminary screening. If the preliminary screening results are clearly distinguished, there is a minimum Hamming distance less than the set threshold t 1 , then select the corresponding palm vein ROI image as the recognition result of the palm vein ROI image to be recognized; otherwise, use SIFT features for secondary screening, if the secondary screening results are clearly distinguished, that is, the number of SIFT feature point matching pairs is greater than or equal to the threshold t 2 , then get the recognition result (if there are the same number, choose the one with the smallest Hamming distance as the matching result); when the two screenings can not clearly distinguish the results, it is considered that there is no recognition object. The present invention can not only improve the accuracy rate of palm vein recognition using NBP algorithm and SIFT algorithm alone, but also reduce the misrecognition rate, and can meet the requirements of real-time acquisition and recognition in terms of efficiency, that is, take into account the recognition speed, thus overcoming the misrecognition of NBP algorithm The shortcomings of high rate and time-consuming SIFT algorithm.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and more specifically relates to a palm vein recognition method which combines texture features and scale-invariant features. Background technique [0002] Palm vein recognition technology is an emerging biometric technology in recent years. Its general process includes palm vein collection, image preprocessing, vein feature extraction and feature matching recognition. According to different feature extraction methods, the existing palm vein recognition methods can be classified into the following four categories: methods based on structural features, methods based on subspace, methods based on texture features (NBP features) and methods based on scale invariant features (SIFT). ) method, wherein, (1), structural features such as line features or point features of palm veins are extracted based on structural features to represent palm veins. This type of method is simple in principle...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46
CPCG06V40/10G06V40/14G06V10/25G06V10/462
Inventor 邹见效张钊于力徐红兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA