Binary Code for the Compact Palmprint Representation Using Texture Features

被引：0

作者：

Gielczyk, Agata ^{[1
]}

Marcialis, Gian Luca ^{[2
]}

Choras, Michal ^{[1
]}

机构：

[1] UTP Univ Sci & Technol Bydgoszcz, Bydgoszcz, Poland

[2] Univ Cagliari, Cagliari, Italy

来源：

COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT II | 2019年 / 11679卷

关键词：

Palmprint; Image processing; Biometrics; User verification; Texture features; HAND SHAPE; IDENTIFICATION; FILTER;

D O I：

10.1007/978-3-030-29891-3_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present an effective approach to the biometric user verification using palmprints. The main idea and key innovation of the method is a compact 32-bit length vector to summarize the palmprint texture. This method provides the user verification with the accuracy reaching 92% in the experiments performed on the benchmark PolyU palmprint database. Moreover, the reported results show that the obtained accuracy appears to be hardly dependent on the number of enrolled samples. The proposed representation may be extremely useful in real life applications because of its compactness and effectiveness.

引用

页码：132 / 142

页数：11

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