An Innovative Technique for Biometric Recognition of Face and Palm-Print Multimodal using Matching Level Fusion
Keywords:
Combination and Classification based approaches, HOG, Hamacher Product, Lukasiewiez t norm, Face recognition, Palm recognition, Biometric fusion, Matching score level,Abstract
This paper gives a innovative method for the Recognition of Face and Palm-Print. Main motive of this paper is ti increase robustness of the recognition systems. Traits are combined with different biometric fusion techniques and results are very innovative. Fusion technique can be implemented by two approaches, Combination like wavelet transformation, HOG, DCT, etc. and Classification like k-Nearest Neighbors (kNN), Random Forest, etc. Biometric fusion was implemented on matching score level. Database used for experiments were, faces94, faces95, faces96 and IITD Palmprint Database using various Face recognition and Palm recognition algorithms. Results of which are discussed further in the paper.
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