An application of fuzzy logic and neural network to fingerprint recognition
學年 93
學期 2
發表日期 2005-05-18
作品名稱 An application of fuzzy logic and neural network to fingerprint recognition
作品名稱（其他語言）
著者 謝景棠; Hsieh, Ching-tang; Hu, Chia-shing
作品所屬單位 淡江大學電機工程學系
出版者 Institute of Electrical and Electronics Engineers (IEEE)
會議名稱
會議地點 Sapporo, Japan
摘要 The correct minutiae extraction is very important in an automatic fingerprint identification system. However, the presence of noise in poor-quality images can cause many extraction faults, such as the dropping of true minutiae and inclusion of false minutiae. Most fingerprint identification systems are based on precise mathematical models, but they cannot handle such faults properly. As human beings are good at recognizing fingerprint patterns, a human-like method is applied. The paper presents an adaptive fuzzy logic and neural network method which has variable fault tolerance. Our experimental results show that this fingerprint identification method is robust, reliable and rapid.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20050518~20050520
通訊作者
國別 JPN
公開徵稿
出版型式
出處 NSIP 2005. Abstracts. IEEE-Eurasip Nonlinear Signal and Image Processing, Japan, pp.20
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