[1]滕少华,罗 江,费伦科.一种改进的掌纹线方向特征提取方法[J].江西师范大学学报(自然科学版),2018,(03):311-316.[doi:10.16357/j.cnki.issn1000-5862.2018.03.15]
　TENG Shaohua,LUO Jiang,FEI Lunke.The Improved Approach of Palmprint Feature Extraction via Half-Orientation Code[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(03):311-316.[doi:10.16357/j.cnki.issn1000-5862.2018.03.15]
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一种改进的掌纹线方向特征提取方法()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2018年03期
页码:
311-316
栏目:
信息科学与技术
出版日期:
2018-06-20

文章信息/Info

Title:
The Improved Approach of Palmprint Feature Extraction via Half-Orientation Code
文章编号:
1000-5862(2018)03-0311-06
作者:
滕少华; 罗 江; 费伦科
广东工业大学计算机学院,广东 广州 510006
Author(s):
TENG Shaohua; LUO Jiang; FEI Lunke
School of Computer Science and Technology,Guangdong University of Technology,Guangzhou Guangdong 510006,China
关键词:
掌纹识别;  特征提取;  线方向;  半方向编码
Keywords:
palmprint recognition;  feature extraction;  line-orientation;  half-orientation code
分类号:
TP 391.4
DOI:
10.16357/j.cnki.issn1000-5862.2018.03.15
文献标志码:
A
摘要:
掌纹识别由于方便易行,近年来已成为鉴定人身份的主要方法之一.经典的基于线方向特征识别掌纹的方法忽略了纹线上其他具有辨别力的方向特征.该文改进了传统基于半方向特征编码的方法,改变其中一个半方向编码特征为另一个具有代表性的方向特征,获得了更多的掌纹曲线特征,从而有效提高掌纹识别效果.实验表明,该方法相比传统的方法具有更高的识别率及准确度.
Abstract:
Palmprint recognition has became one of the most popular methods for identifying a person in recent years due to its high convenience and ease of use.The classic methods of palmprint identification are generally based on the orientation of the lines ignores the other discriminative orientation features on the ridge lines.This paper proposes an improved half-orientation code method,which changes one of the half-orientation features to another representative half-orientation features and obtain more features of palm lines.Experimental results show that the proposed method can achieve a higher recognition accuracy than the conventional method.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-02-17
基金项目:国家自然科学基金(61402118,61673123,61772141,61702110),广东省科技计划(2015B090901016,2016B010108007),广东省教育厅(粤教高函2015[133]号,粤教高函2014[97]号)和广州市科技计划(201604020145,2016201604030034,201508010067,201604046017,201802010042,201802010026)资助项目.
作者简介:滕少华
更新日期/Last Update: 2018-06-20