Abstract
In this paper we present new biologically inspired method for biometric human identification based on the knuckle finger print (FKP). Knuckle is a part of hand, and therefore, is easily accessible, invariant to emotions and other behavioral aspects (e.g. tiredness) and most importantly is rich in texture features which usually are very distinctive. The proposed method is based on the hierarchical feature extraction model. We also showed the results obtained for PolyU knuckle image database.
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Kozik, R., Choraś, M. (2015). Finger Knuckle Print Identification with Hierarchical Model of Local Gradient Features. In: Barbucha, D., Nguyen, N., Batubara, J. (eds) New Trends in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-16211-9_8
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DOI: https://doi.org/10.1007/978-3-319-16211-9_8
Publisher Name: Springer, Cham
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