Extraction of the palm vein texture features based on Gabor wavelet transforms

被引：3

作者：

Shi Yan ^{[1
]}

Wang Longwu ^{[1
]}

Lan Huiying ^{[1
]}

Zeng Guang ^{[1
]}

机构：

[1] China Jiliang Univ, Coll Opt & Elect Technol, Hangzhou 310018, Zhejiang, Peoples R China

来源：

SENSORS, MECHATRONICS AND AUTOMATION | 2014年 / 511-512卷

关键词：

palm vein image; texture feature extraction; Gabor wavelet transform;

D O I：

10.4028/www.scientific.net/AMM.511-512.429

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A texture feature extraction method based on Gabor wavelet transform is presented to avoid the limitations of the shape structure characteristics extraction in the palm vein image. First acquire the palm vein images by independent structures of vein acquire device then extracts ROI area of vein images by determining the centerline of the middle finger and ring finger interphalangeal. Correcting the vein image by Gamma operator will improve the contrast of the processing image. Finally, transform the image based on Gabor wavelet to extract texture feature.

引用

页码：429 / 432

页数：4