Abstract
Fingerprint is one of the various modalities used in biometrics for authentication. An important issue, when designing a fingerprint–based biometric system / application is alignment of fingerprint images before feature extraction and matching. In this paper we present fingerprint alignment algorithm based on Principal Component Analysis (PCA). PCA based method is compared in terms of average time taken for fingerprint image alignment with the existing methods for fingerprint alignment. Experiments show that PCA based method is able to achieve alignment of fingerprint images in FVC2002 DB1A accurately and the algorithm is robust and fast.
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Kour, J., Hanmandlu, M., Ansari, A.Q. (2012). Fast Fingerprint Image Alignment. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_10
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DOI: https://doi.org/10.1007/978-3-642-30157-5_10
Publisher Name: Springer, Berlin, Heidelberg
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