Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Iris recognition using LVQ neural network
- Issue Date
- 2006
- Publisher
- Springer Verlag
- Citation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.3972 LNCS, pp.26 - 33
- Volume
- 3972 LNCS
- Start Page
- 26
- End Page
- 33
- ISSN
- 0302-9743
- Abstract
- In this paper, we discuss human iris recognition, which is based on iris localization, feature extraction, and classification. The features for iris recognition are extracted from the segmented iris pattern using two-dimensional (2-D) wavelet transform based on Haar wavelet. We present an efficient initialization method of the weight vectors and a new method to determine the winner in LVQ neural network. The proposed methods have more accuracy than the conventional techniques. © Springer-Verlag Berlin Heidelberg 2006.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Cho, Seong won
- Engineering (Electronic & Electrical Engineering)