Offline Handwritten Signature Verification Based on Local Ridges Features and Haar Wavelet Transform

Authors

  • Mela G. Abdul-Haleem Computer Science Department, College of Science, University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2022.63.2.38

Keywords:

Haar Wavelet Transform (HWT), Offline Handwritten Signature Recognition, Image Segmentation, Region of Interest (ROI), Local Ridge Features

Abstract

    Multiple applications use offline handwritten signatures for human verification. This fact increases the need for building a computerized system for signature recognition and verification schemes to ensure the highest possible level of security from counterfeit signatures. This research is devoted to developing a system for offline signature verification based on a combination of local ridge features and other features obtained from applying two-level Haar wavelet transform. The proposed system involves many preprocessing steps that include a group of image processing techniques (including: many enhancement techniques, region of interest allocation, converting to a binary image, and Thinning). In feature extraction and analysis stages, a combination of local ridge features and other features obtained from the details of Haar wavelet subbands are extracted. Each wavelet sub-band image is fragmented into blocks with overlap and then the local features and wavelet energies are extracted from each block. Experiments were performed using a database of 600 signature prints collected from 100 persons, (i.e., 6 samples per person). The recognition accuracy of the system was the optimum (100%) using two decomposition levels. For verification purposes, the False Reject Rate for the system was (0.025%) while False Acceptable Rate was (0.03%) respectively.

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Published

2022-02-27

Issue

Section

Computer Science

How to Cite

Offline Handwritten Signature Verification Based on Local Ridges Features and Haar Wavelet Transform. (2022). Iraqi Journal of Science, 63(2), 855-865. https://doi.org/10.24996/ijs.2022.63.2.38

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