Abstract

This paper proposes an novel approach to extract the Region of interest (ROI) for palm print and inner knuckle print(IKP) from hand images captured from a digital camera. An new algorithm to detect candidate key points on hand region is described. Using the candidate key points a novel approach to locate the ROI of palm print and inner knuckle print is proposed. The proposed approach is evaluated using the database collected at our institute. The results obtained are promising and confirm the usefulness of proposed ROI extraction approach for developing hand based biometric recognition systems.

References

• Anil K .Jain,“An Introduction to Biometric recognition”, IEEE transactions on circuits and systems for video technology, vol. 14, no. 1, pp 1-20,January 2004.
• A.Ross and Anil K Jain,“Multimodal biometrics an overview”, Proceedings of 12th European Signal Processing Conference,Poland, pp1121-1124, September 2007.
• Kresimir Delac, Mislav Grgic, “ A survey of biometric recognition methods”, 46th International Symposium Electronics in Marine, pp 184-193,June 2004.
• C. Poon, D.C.M. Wong, H.C. Shen, “A New Method in Locating and Segmenting Palmprint into Region of Interest”, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Vol.4 pp 533 - 536 , 23-26 Aug. 2004
• Chin-Chuan Han, Hsu-Liang Cheng, Chih-Lung Linb, Kuo-Chin Fan “Personal authentication using palm-print features”, Pattern Recognition vol 36 (2003), pp 371 – 381.
• Tee Connie, Andrew Teoh, Beng Jin, Michael GohKahong, David Ngo Chek Ling, “An automated palm print recognition system,” Image and Vision Computing No 23 (2005), pp 501–515 .
• Zohaib Khan, Faisal Shafait, Yiqun Hu, Ajmal Mian, "Multispectral palm print encoding and recognition", eprint, arXiv:1402.2941v1, 6 Feb, 2014.
• Zhu Le qing, Zhang San yuan, "Multimodal biometric identification system based on finger geomerty, knuckle print and palm print", Pattern Recognition Letters, No 31, pp 1641-1649,2010.
• Goh Kah Ong Michael, Tee Connie, Andrew Beng Jin Teoh, "Touch less palm print biometrics : A Novel design and implementation" Image and Vision Computing No 36, pp 1550-1560,2008.
• Qiang li, Zhengding Qiu, Dongmei Sun and Jie wu "Personal Identification Using Knuckle print", Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication, Lecture notes in Computer science, volume 3338, Pages 680-689,2005.
• Xuemiao Xu, Qiang Jin, Le Zhou, Jing Qin, Tien-Tsin wong, Guoqiang Han, "Illumunation- Inavrient and Deformation-Tolerant Inner knuckle Print Recognition Using Portable Devices",, No 15, pp 4326-4352, Sensors 2015.
• T.Ojala, M. Pietikainen and T. Maenpaa, “Multiresolution gray-scale and rotation invariant texture classification with local binary patterns”, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 27(7), pp. 971-987, 2002.
• Kamalesh Tiwari, Devandra K Arya, G.S. Badrinath, Phalguni Gupta, "Designinig palm print based recognition system using local structure tensor and force field transformation for human identification", Neurocomputing, No 116, pp222-230,2013.
• Lin Zhang, Lei Zhang, David Zhang, Zhenhua Guo, "Phase congruency induced local features for finger knuckle print recognition", Pattern Recognition No 45, pp 2522-2531, 2012.
• M.P.Dale, M.A, Joshi, H.J. Galiyawala, "A single sensor HAnd geometry and palm texture fusion for person identification", International Journal of Computer Applications, Vol 42, No 7,pp11-15, March 2012.