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IJSTR >> Volume 8 - Issue 7, July 2019 Edition



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

Website: http://www.ijstr.org

ISSN 2277-8616



Fingerprint Feature Extractors Using Multiple Machine Learning: A Comparative In The Study

[Full Text]

 

AUTHOR(S)

Asfiya siddiqui, Sanjay Sharma

 

KEYWORDS

Fingerprint, Minutiae extraction, Convolution Neutral Network, Biometrics, Automatic Fingerprint Recognition Systems

 

ABSTRACT

Using biometrics information of personal identification has recognized more and more attention in the last few years, due to the inevitability to improve the biometric information security and access restrictions of authentication systems. Fingerprint information is considered the most practical biometrics due to some specific features which make them extensively established. The most challenging problem in fingerprint recognition system is still challenging from extraction unreliable feature from poor quality fingerprint images. Basically it required necessary pre-processing steps to enhance the quality of biometrics images to extract some distinctive features. Various multi resolution transforms methods have been comprehensively used as a feature extractor in the era of biometric information recognition.

 

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