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성주원(Yong-hyun Cho),조용현(Ju-Won Sung) 한국산업융합학회 2001 한국산업융합학회 논문집 Vol.4 No.2
This paper proposes an efficient method for recognizing the fingerprint using the extracted features by adaptive principal component analysis(PCA). The adaptive PCA is implemented by a single-layer neural network for extracting the linear features of fingerprint data. And, the extracted data are transformed into binary data for reducing storage space and transmission time. The proposed method has been applied to recognize the 100 fingerprint data. The simulation results show that the recognitions are all successful and capable of about ±8˚ rotated data.<br/> <br/> <br/>