Graph Application on Face for Personal Authentication and Recognition

被引：3

作者：

Kisku, Dakshina Ranjan ^{[1
]}

Rattani, Ajita ^{[2
]}

Tistarelli, Massimo ^{[3
]}

Gupta, Phalguni ^{[4
]}

机构：

[1] Asansol Engn Coll, Dept Comp Sci & Engn, Asansol 713304, India

[2] Univ Cagliari, Dept Elect & Elect Engn, Cagliari, Italy

[3] Univ Sassari, Dept Architecture & planning, I-07100 Sassari, Italy

[4] Indian Inst Technol Kanpur, Dept Comp Engn & Sci, Kanpur, Uttar Pradesh, India

来源：

2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4 | 2008年

关键词：

face recognition; graph matching constraints; SIFT features; correspondence graph; gabor wavelet; EBGM; euclidean distance metric; IITK face database; BANCA face database;

D O I：

10.1109/ICARCV.2008.4795683

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 novel face recognition technique with graph topology drawn on Scale Invariant Feature transform (SIFT) features and is compared with all the available well known techniques on SIFT features, and Elastic Bunch Graph Matching (EBGM) technique drawn on gabor wavelet feature. IITK face database is used for evaluation purpose. Test results show that the proposed graph matching technique will be an appropriate one for face recognition. Finally, the test results have been compared with the results found on BANCA face database following MC protocol only.

引用

页码：1150 / +

页数：2

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