Indian Journal of Science and Technology

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Biometric Authentication System with Hand Vein Features using Morphological Processing


Affiliations
1 Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu,, India
2 Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, India
3 Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology,Coimbatore – 641008, Tamil Nadu, India
4 Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, India
 

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.
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  • Biometric Authentication System with Hand Vein Features using Morphological Processing

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Authors

K. Sujatha
Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu,, India
S. Bala Krishnan
Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, India
S. Sheeba Rani
Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology,Coimbatore – 641008, Tamil Nadu, India
M. K. Bhuvana
Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, India

Abstract


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.

References





DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i26%2F130558