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Iris recognition using LVQ neural network
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cho, S. | - |
| dc.contributor.author | Kim, J. | - |
| dc.date.accessioned | 2022-02-07T07:41:58Z | - |
| dc.date.available | 2022-02-07T07:41:58Z | - |
| dc.date.created | 2022-02-07 | - |
| dc.date.issued | 2006 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/25011 | - |
| dc.description.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. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Springer Verlag | - |
| dc.title | Iris recognition using LVQ neural network | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Cho, S. | - |
| dc.contributor.affiliatedAuthor | Kim, J. | - |
| dc.identifier.doi | 10.1007/11760023_5 | - |
| dc.identifier.scopusid | 2-s2.0-33745882627 | - |
| dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.3972 LNCS, pp.26 - 33 | - |
| dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
| dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
| dc.citation.volume | 3972 LNCS | - |
| dc.citation.startPage | 26 | - |
| dc.citation.endPage | 33 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Conference Paper | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalRegisteredClass | scopus | - |
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Related Researcher
- Cho, Seong won
- Engineering (Electronic & Electrical Engineering)