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IJSTR >> Volume 1 - Issue 6, July 2012 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Classification of Fingerprint Using KMCG Algorithm

[Full Text]

 

AUTHOR(S)

Dr. Sudeep Thepade, Dimple Parekh, Jinali Shah, Bhumin Shah, Paras Vora

 

KEYWORDS

Keywords— Image Processing, Pattern Recognition, Vector Quantization, Kekre’s Median Codebook Generation (KMCG), Fingerprint Classes.

 

ABSTRACT

Abstract- Fingerprints are the most widely used form of biometric identification. Fingerprint Classification is done to associate a given fingerprint to one of the existing classes. Classifying fingerprint images is a very difficult pattern recognition problem. In this paper, for classifying fingerprint a fresh technique based on vector quantization using KMCG algorithm is implemented. Vector Quantization is a lossy data compression technique, used in various applications. Fingerprint Classification is implemented, using KMCG with codebook of size 8 and window size 8x8. The proposed approach provides an overall accuracy of 80% by taking smaller computations as compared to conventional fingerprint classification techniques.

 

REFERENCES

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