A Biometric Security Model with Co-Occurrence Matrices for Palmprint features

被引：2

作者：

Soviany, Sorin ^{[1
]}

Puscoci, Sorin ^{[1
]}

机构：

[1] INSCC, Commun Terminals & Telemat Dept, Bucharest, Romania

来源：

PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI-2019) | 2019年

关键词：

co-occurrence matrix; statistical features; functional feature-level fusion;

D O I：

10.1109/ecai46879.2019.9042145

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a biometric authentication model using the palmprint, in which the data processing is done using textural statistical features and co-occurrence matrices. Several features sets are extracted and then combined with a functional fusion rule, avoiding the commonly used concatenation feature-level fusion. The target application has several security levels in order to accurately identify the most authorized person. The designed system operates in identification mode because the goal is to guess the true identity of a person using the biometric credential without the user-name.

引用

页数：6

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