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Palm Vein Recognition Technology: A Literature Survey

Abhay Singh, Dhiraj Singh

Abstract


ABSTRACT
As consumer electronics systems are increasing, many stronger consumer devices such as cell phones, PDA and laptops have brought unprecedented comfort and flexibility to customers. However, it is becoming a significant problem to protect personal private data stored in consumer electronics devices from misuse due to theft or loss. This paper presents a user identification system framework using Palm vein technology for consumer electronics devices. The Palm vein identification system is one of the biometrics sensor technologies, which provides high security and reliability than other identification technology.

Keywords: Palm vein Identification, Scanner, Image acquisition device, feature extraction

Cite this Article: Abhay Singh, Dhiraj Singh. Palm Vein Recognition Technology: A Literature Survey. International Journal of Solid State Materials. 2019; 5(1): 46–51p.

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References


Toshiyuki Tanaka, Naohiko Kubo. Biometric Authentication by Hand Vein Patterns. SICE Annual Conference, Sapporo, August 4–6, 2004, pp. 249–253.

Lin Xirong, Zhuang Bo, Su Xiaosheng, Zhou Yunlong, Bao Guiqiu. Measurement and matching of human vein pattern characteristics. Journal of Tsinghua University (Science and Technology). 2003;43(2):164–167.

N Miura, A Nagasaka, T Miyatake. Extraction of finger-vein patterns using maximum curvature points in image profiles. IEICE Trans. Inf. & Syst. 2007;90,D(8):1185–1194.

Shahin M, Badawi A, Kamel M. Biometric authentication using fast correlation of near infrared hand vein patterns. J. International Journal of Biometrical Sciences. 2007;2(3):141–148.

Mansi Manocha, Parminder Kaur. Palm vein recognition for human identification using NN. International Journal of Innovative Technology and Exploring Engineering. December 2013;3(7):140–143.

David Mulyono, Horng Shi Jinn. A study of finger vein biometric for personal identification. International Symposium on Biometrics and Security Technologies. 2008, 23–24 April, 2008, Islamabad, pp. 1–8.

Ton BT, Raymond NV. A high quality finger vascular pattern dataset collected using a custom designed capturing device. Proceedings of International Conference on Biometrics. pp: 1–5, Madrid, Spain, 2013.

Lee EC, Jung H, Kim D. New finger biometric method using near infrared imaging. Sensors. 2011;11(3): 2319–2333.

Ding, Yuhang Ding, Dayan Zhuang, Kejun Wang. A Study of Hand Vein Recognition Method. The IEEE International Conference on Mechatronics & Automation Niagara Falls, Canada, July 2005, pp. 2106–2110.

T Yanagawa, S Aoki, T Ohyama. Human finger vein images are diverse and its patterns are useful for personal identification. MHF Preprint Series, Faculty of Mathematics, Kyushu University, Fukuoka, Japan, April 2007.

Yang L, Yang GP, Yin YL, Xi XM. Exploring soft biometric trait with finger vein recognition. Neurocomputing. 2014;135: 218–228.

Rahul C Bakshe. Hand geometry as a Biometric for human identification. International Journal of Computer Science and Research.

K Parthiban, A Wahid, S Sundaramurthy, C Palanisamy, Finger vein extraction and authentication based on gradient feature selection algorithm. The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014), Bangalore, 2014, pp. 143–147.

Fujustu. Palm Vein Pattern Authentication Technology. White paper printed in the U.S.A. Qty. 3M WP10800306

National Science and Technology Council (NSTC), Committee on Technology, Committee on Homeland and National Security, Subcommittee on Biometrics. Vascular Pattern Recognition, 2006.

Kumar A, Zhou YB. Human identification using finger images. IEEE Transactions on Image Process. 2012; 21(4):2228–2244.

Kornelije Rabuzin, Miroslav Baca, Mirko Malekovic. A multimodal Biometric System implemented within an Active Database management system. Journal of Software. October 2007;2(4):24–31.

P Ghosh, R Dutta. A new approach towards biometric authentication system in palm vein domain. International Journal of Advance Innovations, Thoughts & Ideas. April 2012;1(2):1–10.

H Tian, SK Lam, T Srikanthan. Implementing OTSU’s thresholding process using area-time efficient logarithmic approximation unit. J. Circuits and Systems. 2003;5:21–24.




DOI: https://doi.org/10.37628/ijssm.v5i1.86

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