首页    期刊浏览 2024年11月14日 星期四
登录注册

文章基本信息

  • 标题:An Efficient Iris Feature Encoding and Pattern Matching for Personal Identification
  • 本地全文:下载
  • 作者:T.Karthikeyan ; B.Sabarigiri
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2013
  • 卷号:2
  • 期号:3
  • 页码:920-924
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Recognize people identity becomes an essential problem, Iris based biometric system provides accurate personal identification. Feature encoding and pattern matching are major task in the iris recognition. In our proposed system gives how to set a model to extract the feature of different irises and match them is especially important for it determines the results of the whole system directly. Gabor wavelets are able to provide optimum conjoint representation of a signal in space and spatial frequency. A Gabor filter is constructed by modulating a sine/cosine wave with a Gaussian. Feature Encoding was implemented by convolving the normalised iris pattern with 1-D Gabor filters. For Matching hamming distance will be calculated and accurate recognition was achieved.
  • 关键词:Feature Encoding; Gabor Filters; 1-D Gabor ; Filters; Hamming Distance; Pattern Matching
国家哲学社会科学文献中心版权所有