Offline Signature Verification using Local Binary Pattern

Authors

  • Prakash Patki Author
  • Nandini Dhole Author

Keywords:

Biometrics, Local binary pattern, offline signature verification, histogram, chi-square distance.

Abstract

Several papers have appeared in literatures which propose features for offline signature verification. In this paper local binary pattern of signature is used as one of the feature for verification purpose. The histograms of original signature and forgery signature are calculated and chi-square distance of them is used as input to the classifier. Before classification signature image goes throw several steps as pre-processing, feature extraction and classification. Pre-processing includes thresholding, skeletonization and binarization in this paper Otsu thresholding is used and skeletonization of the thresholded image is used for feature calculation. The local binary pattern (LBP) of an image is calculated then histogram of the LBP.

References

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[2] Miguel A. Ferrer, J. Francisco Vargas, Aythami Morales, and Aaron Ordonez “robustness of offline signature verification based on gray level features”, IEEE Transactions on Information Forensics and Security, Vol.7, No.3, June2012.

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[5] H. Lv, W. Wang, C. Wang, and Q. Zhuo, “Off-line Chinese signature verification based on support vector machine,” Pattern Recognition Lett., vol. 26, pp. 2390–2399, 2005.

[6] T. Maenpand, M. Pietikainen, C. H. Chenand, P. S. P. Wang, Eds., “Handbook of pattern recognition and computer vision,” in Texture Analysis With Local Binary Patterns, 3rd ed. Singapore: World Scientific, 2005, pp. 197–216.

[7] T. Ahonen, A. Hadid, and M. Pietikainen, “Face description with local binary patterns: Application to face recognition,” IEEE Trans. Pattern Anal.MachineIntell., vol.28, no.12, pp.2037–2041, Dec.2006.

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Published

2019-04-30

How to Cite

Offline Signature Verification using Local Binary Pattern. (2019). International Journal of Advanced Research in Science, Management and Technology, 5(2), 1-4. https://ijarsmt.in/ijarsmt/article/view/76

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