Feature selection for iris recognition with AdaBoost

Kan Ru Chen, Chia Te Chou, Sheng Wen Shih, Wen Shiung Chen, Duan Yu Chen

研究成果: 書貢獻/報告類型會議貢獻

5 引文 斯高帕斯(Scopus)

摘要

In this paper, we proposed a method for selecting edge-type features for iris recognition. The AdaBoost algorithm is used to select a filter bank from a pile of filter candidates. The decisions of the weak classifiers associated with the filter bank are linearly combined to form a strong classifier. Real experiments have been conducted to assess the performance of the designed strong classifier. The results showed that the boosting algorithm can effectively improve the recognition accuracy at the cost of slightly increase the computation time.
原文英語
主出版物標題Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
頁面411-414
頁數4
DOIs
出版狀態已發佈 - 2007
事件3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, 臺灣
持續時間: 11月 26 200711月 28 2007

出版系列

名字Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
2

會議

會議3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
國家/地區臺灣
城市Kaohsiung
期間11/26/0711/28/07

ASJC Scopus subject areas

  • 電腦網路與通信
  • 訊號處理
  • 資訊系統與管理

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