The week's pick
Random Articles
Reseach Article
Optimized Multispectral Palmprint Recognition System based on Contourlet Transform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 71 - Number 23 |
| Year of Publication: 2013 |
| Authors: Faseela Harshad, Alphonse Devasia |
10.5120/12625-9327
|
Faseela Harshad, Alphonse Devasia . Optimized Multispectral Palmprint Recognition System based on Contourlet Transform. International Journal of Computer Applications. 71, 23 ( June 2013), 15-18. DOI=10.5120/12625-9327
Abstract
Reliability and accuracy in personal identification system is a dominant concern to the security world. Many types of personal identification systems have been developed, and palmprint identification is one of the emerging technologies that attracted the researchers due to its stable and unique characteristics. Recently, multispectral imaging has attracted considerable attention as it can acquire more discriminative information in a short time. This paper presents a novel biometric technique to automatic personal identification system using multispectral palmprint technology. In this method, each of spectrum images are aligned and then used to extract palmprint features using Contourlet Transform CT. It is a multiresolution and multidirection transform which can be effective in capturing the palm features. Finally, Genetic Algorithm is used for feature selections in order to have high performance. The expected results showed that the proposed method achieve an excellent identification rate and provide more security in noisy environment.
References
- K. Shanmugapriya1, M. Karthika, Dr. S. Valarmathy, M. Arunkumar "Performance Evaluation of Contourlet Transform based Palmprint Recognition using Nearest Neighbour Classifier" International Journal of Emerging Technology and Advanced Engineering Website: www. ijetae. com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 1, January 2013.
- A. K. Jain, A. Ross & S. Prabhakar. (2004). An Introduction to Biometric Recognition, In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, N. 1, pp 4-20, January 2004.
- W. K. Kong and D. Zhang, "Palmprint Texture Analysis based on Low-Resolution Images for Personal Authentication", 16th International Conference on Pattern Recognition, Vol. 3, pp. 807-810, August 2002.
- S. Valarmathy, M. A. Kumar, M. Sudha, "Improvement in palmprint recognition rate using fusion of multispectral palmprint images", Proceedings of Int. Conf. on Computing Communication and Application (ICCCA), pp. 1-5, 2012.
- Yan Jin1, Miao Qi,Yinghua Lu, Yao Fu, JunKong. Palmprint Verification Based on Genetic Algorithm Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering.
- Priyanka Somvanshi, Milind Rane "Survey of Palmprint Recognition" International Journal of Scientific & Engineering Research Volume 3, Issue 2, February-2012 1 ISSN 2229-5518.
- David Zhang, Zhenhua Guo, Guangming Lu, Lei Zhang, and Wangmeng Zuo, "An Online System of Multispectral Palmprint Verification", IEEE transactions on instrumentation and measurement, vol. 59, no. 2, February 2010, pp 480-490.
- Minh N. Do, Member, IEEE, and Martin Vetterli Fellow, IEEE Transaction On Image Processing "The Contourlet Transform, an Efficient Directional Multiresolution Image Representation".
- Gayathri, R. and P. Ramamoorthy, "Palmprint Recognition using Feature Level Fusion", Journal of Computer Science August 2012 ISSN 1549-3636.
- ThePolyU Palmprint Database Available at http://www. comp. polyu. edu. hk/~biometrics
Index Terms
Keywords