Indian Journal of Science and Technology
DOI: 10.17485/ijst/2018/v11i26/130558
Year: 2018, Volume: 11, Issue: 26, Pages: 1-6
Original Article
K. Sujatha1 , S. Bala Krishnan2 , S. Sheeba Rani3 and M. K. Bhuvana4
1 Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, India; [email protected]
2 Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, India; [email protected]
3 Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology,Coimbatore – 641008, Tamil Nadu, India; [email protected]
4 Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, India; [email protected]
*Author for correspondence
K. Sujatha,
Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, India; [email protected]
Objective: In order to prevent the theft of authentication of the keywords and to preserve the biometric authentication a method is derived to secure the pattern. Methods/Statistical analysis: An efficient identification and authentication methods are implemented by using the dorsal vein recognition system which is very popular among the researchers of the world. By identifying the unique pattern of the hand vein, the features are extracted from the images and pattern is framed and dimension reduction is based on the system application. Application: This simple model can be used in reduction of dimensionality and the noise can be removed from the biometric pattern which helps to have high security. Findings: This paper contributes on image acquisition, preprocessing techniques, feature extraction in hand vein authentication system.
Keywords: Authentication System, Monochrome Camera, Morphological Process
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