Abstract
The technology of accurately identifying people has improved with the advent of digitizing biometric data. Cross-disciplinary advancements in medical and computer sciences have allowed anatomical characteristics to be digitized so traditional pattern recognition algorithms can be employed to reconcile a single instance with potentially millions of database entries. Two important biometric applications are facial and fingerprint recognition. One facial recognition technique expresses face images in terms of eigenfaces using principal component analysis. This chapter provides an overview of the biometric recognition problem with examples of solution methods for fingerprint and facial recognition.
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Further Reading
Li S, Jain A (2005) Handbook of face recognition. Springer Science + Business Media, New York
Maltoni D, Maio D, Jain A, Prabhakar S (2009) Handbook of fingerprint recognition. Springer Science + Business Media, London
Wechsler H (2007) Reliable face recognition methods: system design, implementation and evaluation (International Series on Biometrics). Springer Science + Business Media, New York
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Taranovsky, D. (2012). Biometrics and Recognition Technology. In: Chen, J., Cranton, W., Fihn, M. (eds) Handbook of Visual Display Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79567-4_32
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DOI: https://doi.org/10.1007/978-3-540-79567-4_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79566-7
Online ISBN: 978-3-540-79567-4
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