Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Iris Recognition Using Spatial Pyramid

Authors
Kuan Xu, Lu Chen
Corresponding Author
Kuan Xu
Available Online March 2013.
DOI
10.2991/iccsee.2013.104How to use a DOI?
Keywords
spatial pyramid, iris recognition, feature extraction, biometric recognition
Abstract

Importance of biometric user identification is increasing everyday. In recent years, the iris recognition technology is considered to be one of the most promising biometric recognition technology. The selection of iris features has become an important issue in the field of iris recognition. In this paper, the spatial pyramid matching of the scene classification for iris images is proposed. Firstly, introduce the definition of spatial pyramid matching, and then introduce how to use it for iris feature extraction and iris matching. Experimental result shows the proposed method used for iris recognition is efficient.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.104
ISSN
1951-6851
DOI
10.2991/iccsee.2013.104How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kuan Xu
AU  - Lu Chen
PY  - 2013/03
DA  - 2013/03
TI  - Iris Recognition Using Spatial Pyramid
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 406
EP  - 409
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.104
DO  - 10.2991/iccsee.2013.104
ID  - Xu2013/03
ER  -