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Comparative Analysis of Online Signature Verification using Hybrid Wavelet Transform (HWT) -1 and 2 with HMM classifier
Manoj Chavan, Ravish R. Singh, Vinayak Bharadi

Published in: Journal for Advance Research in Applied Sciences
Volume- 4, Issue-7, pp.143-152, Dec 2017
DPI :-> 16.10089.JARAS.2017.V4I7.143152.2232



Abstract
Online handwritten signature contains additional dynamic features such as pressure applied by user, speed of writing, method of holding the pen etc. along with two dimensional image of the signatures obtained by offline signatures. The hybrid wavelet transform which are formed by using Kronecker product of two transform, has the ability to analyse the signal at global as well as local level. Hybrid wavelet transform – 1 and 2 were applied on the first 128 samples of the pressure parameter and first 1- 16 samples of the output were used as feature vector for signature verification. Using Hidden Markov Model (HMM) based classifier with ergodic model, the performance of the proposed system was analysed. DHT KEKRE, HAAR KEKRE, HADAMARD KEKRE, KEKRE HADAMARD and KEKRE 128 best performance with FRR and FAR of 0 % with HWT-1. KEKRE 128 offers best performance with FRR & FAR of 13 % with HWT-2. HWT - 1 offers better performance in terms of FRR – FAR than HWT - 2. HADAMARD HAAR transform offers best EER of 8 training samples with HWT -1. Orthogonal DCT transform, DCT HADAMARD, DHT DCT and HAAR HADAMARD transform offers best EER of 4 training samples with HWT -2.

Key-Words / Index Term
HMM, Hybrid Wavelet Transform – 1, Hybrid Wavelet Transform - 2, Online Signature Verification, FRR, FAR, EER

How to cite this article
Manoj Chavan, Ravish R. Singh, Vinayak Bharadi , “Comparative Analysis of Online Signature Verification using Hybrid Wavelet Transform (HWT) -1 and 2 with HMM classifier”, Journal for Advance Research in Applied Sciences, 4, Issue-7, pp.143-152, Dec 2017. DPI:16.10089.JARAS.V4.I7.2232