Abstract
We propose the significance in use of multiple databases for the purpose of authentication using the palm-print of the hand for increased speed. The technique is used for authentication using the acquired image of the hand. The hand could be held in any pose hence providing pose independence. We use Appearance analysis for feature extraction. This technique also suggests hand independence for biometric authentication. It also provides a robust technique for detecting the extremities using a neighborhood scan method.
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Prakash, V.R., Kumaraguru, Vimala Rani, G., Indumathi, S.K. (2016). Application of Multiple Databases Based on Hand Features in Hand Biometry. In: Shetty, N., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2553-9_18
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DOI: https://doi.org/10.1007/978-81-322-2553-9_18
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