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Multi-scale Local Binary Patterns- A Novel Feature Extraction Technique for Offline Signature Verification

  • Bharathi PilarEmail author
  • B. H. ShekarEmail author
  • D. S. Sunil Kumar
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1037)

Abstract

This paper presents a powerful feature representation method called Multi-scale Local Binary Patterns for offline signature verification. The multi-scale representation oriented local binary patterns can be obtained by changing the radius R value of Local Binary Patterns(LBP) operator and combining the LBP features at different scales. In this proposed approach the LBP operator is applied at 3 different scales by varying the radius R value and at each scale equal number of pixels are considered for the processing. Finally, by cascading a group of LBP operators at 3 different scales over a signature image with fixed number of pixels at each scale and combining their results, a multi-scale representation LBP can be obtained. This essentially represents nonlocal information. Features fusion is performed by the linear combination of the histogram corresponding to 3 different radii results in a multi resolution (scale) feature vector. Support Vector Machine (SVM) is a well known classifier employed to classify the signature samples. Experimental results on standard datasets like CEDAR and a regional language datasets shows the proposed technique’s performance. A comparative analysis with few well known methods is also presented to demonstrate the performance of proposed technique.

Keywords

Multi-scale Local Binary Patterns Signature verification Support Vector Machine Local binary patterns 

Notes

Acknowledgment

We acknowledge Bharathi R.K for providing a regional language kannada dataset namely MUKOS(Mangalore University Kannada Off-line Signature) dataset.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity CollegeMangaloreIndia
  2. 2.Department of Computer ScienceMangalore UniversityKonajeIndia

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