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A Survey Paper on Biometric Pattern Recognition


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1 Shree Shankaracharya College of Engineering and Technology, Bhilai (CG), India
     

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This paper focus about biometric face recognition with different methodologies and comparison between them. Now a day's face recognition is play very crucial role in recent technology like mostly companies are adopting the biometric identification for login but when images are degraded than the performance of our system is reduced. This paper gives some idea about steps by steps face recognition algorithm how face is recognized but when quality of an image is degrade due to some noise or any external reason than matching process will not give accurate result for this reason we adopt some restoration and enhancement techniques like retinex theory for degrade image to improve quality for better performance in next part of my work.

Keywords

Face Detection, Classification, Pattern Recognition, Biometric, PCA, LDA.
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  • A Survey Paper on Biometric Pattern Recognition

Abstract Views: 226  |  PDF Views: 0

Authors

Anita Bara
Shree Shankaracharya College of Engineering and Technology, Bhilai (CG), India
Anurag Shrivastava
Shree Shankaracharya College of Engineering and Technology, Bhilai (CG), India

Abstract


This paper focus about biometric face recognition with different methodologies and comparison between them. Now a day's face recognition is play very crucial role in recent technology like mostly companies are adopting the biometric identification for login but when images are degraded than the performance of our system is reduced. This paper gives some idea about steps by steps face recognition algorithm how face is recognized but when quality of an image is degrade due to some noise or any external reason than matching process will not give accurate result for this reason we adopt some restoration and enhancement techniques like retinex theory for degrade image to improve quality for better performance in next part of my work.

Keywords


Face Detection, Classification, Pattern Recognition, Biometric, PCA, LDA.