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Reseach Article
DWT based Offline Signature Verification using Angular Features
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 52 - Number 15 |
| Year of Publication: 2012 |
| Authors: Prashanth C.r, K. B. Raja, K. R. Venugopal, L. M. Patnaik |
10.5120/8280-1929
|
Prashanth C.r, K. B. Raja, K. R. Venugopal, L. M. Patnaik . DWT based Offline Signature Verification using Angular Features. International Journal of Computer Applications. 52, 15 ( August 2012), 40-48. DOI=10.5120/8280-1929
Abstract
The signature verification system is always the most sought after biometric verification system. Being a behavioral biometric trait which can be imitated, the researcher faces a challenge in designing such a system to counter intrapersonal and interpersonal variations. This papers presents DWT based Off-line Signature Verification using Angular Features (DOSVAF). The signature is resized and Discrete Wavelet Transform (DWT) is applied to get four bands. The approximation band is considered and skeletonized. The exact signature area is cropped and resized so that the fair comparison is made among the signatures to produce better result. The angular features are extracted by dividing the signature image into number of blocks. The angular features of database and test signature are compared using distance metric. It is found that the values of FAR and FRR at optimal threshold are better compared to that of existing methods.
References
- Anil K Jain, Arun Ross and Salil Prabhakar, “An Introduction to Biometric Recognition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no.1, pp. 1-29, 2004.
- Kresimir Delac, Mislav Grgic, “A Survey of Biometric Recognition Methods,” 46th International Symposium on Electronics in Marine, pp. 184 -193, 2004.
- Ramachandra A C, Jyothi Srinivasa Rao, K B Raja, K R Venugopal and L M Patnaik, “Robust Off-line Signature Verification based on Global Features,” IEEE International Advance Computing Conference, pp. 1173-1178, March 2009.
- Robert Sabourin and Jean-Pierre Drouhard, “Impact of Signature Legibility and Signature Type in Off-line Signature Verification,” IEEE InternationalConference on Pattern Recognition, pp. 321-325, 1992.
- Stephane Armand, Michael Blumenstein and Vallipuram Muthukkumarasamy, “Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification,” IEEE International Joint Conference on Neural Networks, pp. 684 -689, July 2006.
- Luiz S Oliveira, Edson Justino, and Robert Sabourin, “Off-line Signature Verification using Writer-Independent Approach,” Proceedings of International Joint Conference on Neural Networks, pp. 2539-2544, August 2007.
- M Taylan Das and L Canan Dulger, “Off-line Signature Verification with PSO-NN Algorithm,” Seventh International Conference on Intelligent Systems Design and Applications, pp. 843 – 848, 2007.
- George Azzopardi and Kenneth P Camilleri, “Off-line Handwritten Signature Verification using Radial Basis Function Neural Networks,” IEEE International Conference on Electrical and Electronics (INDICON-2008), pp. 17-22, 2008.
- Samaneh Ghandali and Mohsen Ebrahimi Moghaddam, “Off-line Persian Signature Identification and Verification based on Image Registration and Fusion,” Journal of Multimedia, Vol. 4, No. 3, pp.137-144, June 2009.
- Milena R P Souza, Leandro R Almeida, and George D C Cavalcanti, “Combining Distances Through an Auto-encoder Network to Verify Signatures,” tenth Brazilian Symposium on Neural Networks, pp.63-72, October 2008.
- Lajish V L, “Handwritten Character Recognition using Gray-scale based State-Space Parameters and Class Modular Neural Networks,” IEEE International Conference on Signal Processing, pp. 374-379, January 2008.
- Debasish Jena, Banshidahar Majhi, and Sanjay Kumar Jena, “Improved Off-line Signature Verification Scheme using Feature Point Extraction Method,” Journal of Computer Science, pp. 111-116, 2008.
- Cesar Santos, Edson J R Justino, Flavio Bortolozzi, and Robert Sabourin, “An Off-line Signature Verification method based on the Questioned Document Expert’s Approach and a Neural Network Classifier,” International Workshop on Frontiers in Handwriting Recognition, pp. 498-502, October 2004.
- Heng Ma, Wen-Wei Yang, and Chia-Chend Liu, “Off-line Chinese-Based Signature Verification using a Threshold Self-Organizing Map,” Journal of the Chinese Institute of Industrial Engineers, Vol. 24, No. 3, pp. 225-235, 2007.
- Mustafa Agil Muhamad Balbed, Sharifah Mumtazah Syed Ahmad, and Asma Shakil, “ANOVA-Based Feature Analysis and Selection in HMM-Based Off-line Signature Verification System,” International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, pp. 66-69, July 2009.
- Vu Nguyen, Michael Blumenstein, and Graham Leedham, “Global Features for the Off-line Signature Verification Problem,” tenth International Conference on Document Analysis and Recognition, pp. 1300-1304, 2009.
- Wan-Suck Lee, N Mohankrishnan, and Mark J Paulik, “Improved Segmentation through Dynamic Time Warping for signature Verification using a Neural Network Classifier,” International Conference on Image Processing, Vol. 2, pp. 929-933, 1998.
- Jesus F Vargas, Miguel A Ferrer, Carlos M Travieso, and Jesus B Alonso, “Off-line Signature Verification Based on Psuedo-Cepstral Coefficients,” tenth International Conference on Document Analysis and Recognition, pp. 126-130, 2009.
- Hai Rong Lv, Wen Jun Yin, and Jin Dong, “Off-line Signature Verification based on Deformable Grid Partition and Hidden Markov Models,” IEEE International Conference on Multimedia and Expo, pp. 374-377, 2009.
- Muhammad Reza Pourshahabi, Mohamad Hoseyan Sigari, and Hamid Reza Pourreza, “Off-line Handwritten Signature Identification and Verification using Contourlet Transform,” International Conference of Soft Computing and Pattern Recognition, pp. 670-673, 2009.
- Sharifah Mumtazah Syed Ahmad, Asma Shakil, Masyura Ahmad Faudzi, Rina Md. Anwar, and Mustafa Agil Muhamad Balbed, “A Hybrid Statistical Modelling, Normalization and Inferencing Techniques of an Off-line Signature Verification System,” World Congress on Computer Science and Information Engineering, pp. 6-11, 2009.
- V A Bharadi and H B Kekre, “Off-line Signature Recognition Systems,” International Journal of Computer Applications, Vol. 1, No. 27, pp. 61-70, 2010.
- H N Prakash and D S Guru, “Relative Orientations of Geometric Cntroid for off-line Signature Verification,” International Conference on Advances in Pattern Recognotion, pp. 201-204, 2009.
- Prashanth C R, K B Raja, K R Venugopal, and L M Patnaik, “Standard Scores Correlation based Off-line Signature Verification System,” International Conference on Advances in Computing, Control, and Telecommunication Technologies, pp. 49-53, 2009.
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