International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Reviewed

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 5 Issue 9, September 2016


An Optimal and Smarter Recognition Pattern Based on Eigen Visual Perception

Parveen Yadav [2] | Rahul Kadian [4]


Abstract: Biometrics is defined as the computerized recognition of individuals based on their behavioural and biological characteristics. It is a developing technology. Biometric authentication devices use unique traits or behavioral characteristics, such as fingerprints and voice recognition, to authenticate access to electronic assets. Because biometric information is unique to each person, fingerprints scans, for example, are an excellent way to ensure that the identification of users is sophisticated and complex enough. Unlike the use of other forms of authentication, such as passwords or tokens, biometric recognition provides a strong link between an individual and a claimed identity. One area where biometrics can provide substantial help is in guarding against attempts to establish fraudulent multiple identities or prevent identity fraud.


Keywords: Uml/class diagram, Data flow diagram, Test Case, Test Result


Edition: Volume 5 Issue 9, September 2016,


Pages: 983 - 988


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How to Cite this Article?

Parveen Yadav, Rahul Kadian, "An Optimal and Smarter Recognition Pattern Based on Eigen Visual Perception", International Journal of Science and Research (IJSR), Volume 5 Issue 9, September 2016, pp. 983-988, https://www.ijsr.net/get_abstract.php?paper_id=9091602

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