NDLI: Robust person identification with face and iris by modified PUM method

Content Provider	IEEE Xplore Digital Library
Author	Jie Lin Jian-Ping Li Hui Lin Ji Ming
Copyright Year	2009
Description	Author affiliation: Leshan Vocational& Technical College, China (Hui Lin) \|\| School of Computer Science and Engineering University of Electronic Science and Technology of China, China (Jie Lin; Jian-Ping Li) \|\| Queen's University Belfast, Queen's Island, BT3 9DT, UK (Ji Ming)
Abstract	In previous works, we have applied the modified PUM method in face recognition and demonstrated the effectiveness of this method for deal with partial occlusion and distortion. Based on the similitude between the face features and iris features, this paper proposes a new method for person recognition by the combining of iris and face. This new method combines the iris and face features as a new feature for representing persons and then acts the modified PUM on the new features for recognition. Generally, the iris features, however, is more reliable than the face features. Hence the iris feature should be given a higher weight. For this, this paper further improves the method to form a better strategy for combining the face and iris on recognition. The new improved approach has been evaluated on combined-face and iris databases, using face testing images subjected to various types of partial distortion and occlusion. The new system has demonstrated improved performance over other systems.
Starting Page	321
Ending Page	324
File Size	261964
Page Count	4
File Format	PDF
ISBN	9781424452040
DOI	10.1109/ICACIA.2009.5361089
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Face recognition Educational institutions PUM Spatial databases Security Computer science Image databases Person identification face recognition Robustness iris recognition Testing Iris recognition
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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