Feature-Level Fusion of Speech, Signature and Tongue using ordered weighted average using GA

Volume: 1    Issue: 4

Year of Publication: 2015

Pages: (13-19)

Authors: Harmanpreet Kaur, Gaganpreet Kaur

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Abstract

In the proposed work, three modalities speech, signature and tongue are fused together. Features of tongue, speech and signature are extracted using SIFT, MFCC and DCT respectively. Fusion of three modalities is performed using ordered weighted averaging with modified GA. Features for non noisy and noisy samples have been collected separately. Proposed system also works efficiently on filtered noisy modalities. Motion blur filter is used for filtration of noisy samples.

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Keywords

Biometric, multimodal, feature, SIFT, MFCC, DCT, GA, fitness function, fusion, ordered weighted averaging, motion blur filter.