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Abstract
Each person has a unique fingerprint and many research have been conducted to recognize these
fingerprints. Many applications have also been implemented related to fingerprint matching. This paper
discusses on how good the Principal Component Analysis (PCA) which is combined with Hamming distance in
recognizing five fingerprints.
Some experiments are conducted to get what is the best number of PCA vector in recognizing the five
human fingerprints data. The result of these experiments are also reported in this paperinally, the results of all
experiments are also be reported.
Keywords: Principal Component Analysis, finger print, Hamming distance.
fingerprints. Many applications have also been implemented related to fingerprint matching. This paper
discusses on how good the Principal Component Analysis (PCA) which is combined with Hamming distance in
recognizing five fingerprints.
Some experiments are conducted to get what is the best number of PCA vector in recognizing the five
human fingerprints data. The result of these experiments are also reported in this paperinally, the results of all
experiments are also be reported.
Keywords: Principal Component Analysis, finger print, Hamming distance.