The week's pick
Reseach Article
Online Signature Verification in Banking Application: Biometrics SaaS Implementation
| International Conference on Communication Computing and Virtualization |
| Foundation of Computer Science USA |
| ICCCV2016 - Number 1 |
| July 2016 |
| Authors: Joel Philip, Vinayak A. Bharadi |
| e24cc2b2-eab4-4f14-ae90-c080fba5816a |
Joel Philip, Vinayak A. Bharadi . Online Signature Verification in Banking Application: Biometrics SaaS Implementation. International Conference on Communication Computing and Virtualization. ICCCV2016, 1 (July 2016), 28-33.
Abstract
Signature recognition and identification is a vital behavioral biometric trait. Signature recognition system can be used to identify precisely user identity by making use of signature information such as x, y variations and pressure from a tablet PC. This makes way for using dynamic, i. e. , online handwritten signature based biometric system is more accurate than the static ones, hence can be useful for banking applications. In this paper new set of features are proposed for online or dynamic signature recognition. In this research, feature vector and their extraction mechanism is implemented using Webber Local Descriptor (WLD). Thus, helping many banking applications to identify forgery of signatures. The performance of proposed feature vector is further improved by provision of soft biometric traits of the signature.
References
- H B Kekre, V A Bharadi, "Dynamic signature preprocessing by modified digital difference analyzer algorithm", Springer India, Thinkquest, 978-81-8489-989-4_12, 2011
- H B Kekre, V A Bharadi, T K Sarode , "Dynamic Signature Recognition using Time based Vector Quantization by Kekre's Median Codebook Generation Algorithm", Springer India,Thinkquest,10. 1007/978-81-8489-989-4_46,2011
- H B Kekre and V A Bharadi, "Gabor Filter Based Feature Vector for Dynamic Signature Recognition", International Journal of Computer Applications (0975 – 8887), vol 2 No: 03, May 2010.
- H B Kekre and V A Bharadi , "Texture Feature Extraction using Partitioned Complex Walsh Plane in Transform Domain for Iris and Palmprint recognition", in ICWET by IJCA journal number-3, 2012.
- Pradeep Kumar* Shekhar Singh Ashwani Garg NishantPrabhat, "Hand Written Signature Recognition & Verification Using Neural Network" , International Journal Of Advanced Research In Computer Science And Software Engineering Volume 3, Issue 3, March 2013, ISSN: 2277 128X
- Nilesh Y. Choudhary, Mrs. RupalPatil, Dr. Umesh. Bhadade, Prof. Bhupendra M Chaudhari, "Signature Recognition & Verification System Using Back Propagation Neural Network", International Journal Of IT, Engineering And Applied Sciences Research (IJIEASR) ISSN: 2319-4413 Volume 2, No. 1, January 2013.
- Darma Putra, Yogi Pratama, Oka Sudana and AdiPurnawan, "An Improved Dominant Point Feature for Online Signature Verification", International Journal of Security and Its Applications Vol. 8, No. 1 (2014), ISSN: 1738-9976.
- RafalDoroz, MalgorzataPalys, Tomasz Orczyk, Hossein Safaverdi, "Method Of Signature Recognition With The Use Of The Complex Features", Journal Of Medical Informatics & Technologies, Vol. 23/2014, ISSN 1642-6037
- D. G. Agrawal, Pranoti M. Jangale, "Dynamic Texture Feature Extraction Using Weber Local Descriptor", Int. Journal of Engineering Research and Applications, ISSN: 2248-9622, Vol. 4, March 2014.
- J. F. Vargas, M. A. Ferrer, C. M. Travieso, J. B. Alonso: "Off-line signature verification based on grey level information using texture features," Pattern Recognition, vol. 44, no. 2, pp. 375-385, 2011.
- Feng Yang, Mingyue Ding, Xuming Zhang, Yi Wu, Jiani Hu, "Two Phase Non-Rigid Multi-Modal Image Registration Using Weber Local Descriptor-Based Similarity Metrics and Normalized Mutual Information", Sensors Journal, ISSN: 1424-8220, 2013.
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