Decade progress of palmprint recognition: A brief survey

被引：106

作者：

Zhong, Dexing ^{[1
]}

Du, Xuefeng ^{[1
]}

Zhong, Kuncai ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Shaanxi, Peoples R China

来源：

NEUROCOMPUTING | 2019年 / 328卷

基金：

中国国家自然科学基金;

关键词：

Palmprint recognition; ROI (region of interest); Feature extraction; Matching; Fusion; FINGER-KNUCKLE-PRINT; LOCALITY PRESERVING PROJECTIONS; PERSON RECOGNITION; DISCRIMINANT; FACE; REPRESENTATION; FEATURES; FUSION; PCA; HISTOGRAM;

D O I：

10.1016/j.neucom.2018.03.081

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As an advanced research topic in biometrics techniques, palmprint recognition has been fully studied for more than 20 years. Due to its superiority to other biological features, i.e. high recognition accuracy and convenience for practical application, many research achievements on palmprint have emerged recently, especially in the past decade. This paper presents a comprehensive overview of recent research progress of palmprint recognition as well as the basic background knowledge for it. In addition, it mainly focuses on data acquisition, database, preprocessing, feature extraction, matching and fusion. Ultimately, we discuss the challenges and future perspectives in palmprint recognition for further works. (c) 2018 Elsevier B.V. All rights reserved.

引用

页码：16 / 28

页数：13

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