Title
Off-line Persian Signature Verification using Wavelet-based Fractal Dimension and One-class Gaussian Process.
Abstract
This paper presents a novel individual verification approach through off-line handwriting signatures. In our proposed technique, images are decomposed into an series of wavelet sub-bands at some specific levels. In order to generate feature vectors, quantization based on Multi-Resolution Box-Counting (MRBC) fractal dimension algorithm is applied. In the training and verification phase, we rely on the One-Class Gaussian Process (OC-GP) priors. The optimal decision threshold is selected from False Accept Rate (FAR) and False Reject Rate (FRR) curves. The presented technique was extensively tested on two available Persian databases (PHBC and UTSig). Experimental results showed very promising results when compared to state-of-the-art techniques.
Year
Venue
Keywords
2018
NASA/ESA Conference on Adaptive Hardware and Systems
Off-line Persian signature verification,Wavelet,Multitresolution box-counting method,Writer-independent,One-Class Gaussian process
Field
DocType
ISSN
Feature vector,Fractal dimension,Pattern recognition,Computer science,Feature extraction,Real-time computing,Gaussian process,Artificial intelligence,Quantization (signal processing),Prior probability,Wavelet transform,Wavelet
Conference
1939-7003
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Sima Shariatmadari100.34
Somaya Al-máadeed241147.43
Younes Akbari3194.75
Imad Rida4748.02
Sima Emadi501.69