首页    期刊浏览 2025年02月17日 星期一
登录注册

文章基本信息

  • 标题:Iris Feature Extraction based on Haar Wavelet Transform
  • 本地全文:下载
  • 作者:Zhu Wen yao ; Zhou jun ; WU Yu feng
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2014
  • 卷号:8
  • 期号:4
  • 页码:265-272
  • DOI:10.14257/ijsia.2014.8.4.24
  • 出版社:SERSC
  • 摘要:To improve the accuracy of iris recognition system, we propose an efficient algorithm for iris feature extraction based on 2D Haar wavelet. Firstly, the iris image is decomposed by the 2D Haar wavelet three times, and then a 375-bit iris code is obtained by quantizing all the high-frequency coefficients at third lever. Finally we use similarity degree function as matching scheme. Experimental results on CASIA iris database show that our algorithm has the encouraging correct recognition rate (CRR) which is only 99.18%, accompanying with very low equal error rate (EER) 0.54%.
  • 关键词:Iris feature extraction; 2D haar wavelet; Decomposition; Detail components ; demodulating
国家哲学社会科学文献中心版权所有