Palmprint Recognition Based on Gabor Transforms and Invariant Moments

被引：0

作者：

Su, Rina ^{[1
]}

Zhang, Yongping ^{[1
]}

Fan, Jianbo ^{[1
]}

Fan, Shaojing ^{[1
]}

机构：

[1] Ningbo Univ Technol, Sch Elect & Informat Engn, Ningbo, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY (ISCSCT 2009) | 2009年

关键词：

palmprint recognition; Gabor transforms; invariant moments; PATTERN-RECOGNITION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Proposed a method of combining two-dimensional Gabor transforms and invariant moments to extract palmprint feature, and using multilayer towards feedback neural network for training palmprint images to recognize. This method first pretreated the collected palmprint images and got the region of interest (ROI), then constructed a set of Gabor filters to get ROI eigenvectors, combined with the palm images' invariant moment features together as the input of the neural network to train and recognize. Experiments show that the method is effective.

引用

页码：254 / 257

页数：4

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