Face Recognition Technique for Processing Library Transactions

Authors(5) :-Aishwarya Tagade, Ashlesha Orke, Dipti Thool, Priyanka Mandhalkar, Prof. Amita Meshram

Biometrics is a term used to characterize a person's DNA, hand geometry, face, and so on or behavioral qualities, for example, hand signature, voice tone, keystrokes et cetera. Consequently, these natural attributes are novel for each person. As a rule, face recognition related advancements are ending up more prominent among biometric-based innovations that measure a person's common information. Hereditary biometrics has for the most part used to verify and recognize people by examining their physical attributes, for example, unique finger impression, eye iris, vein and so forth. The reason for this work is to show a Windows based continuous application framework utilizing face recognition calculations for performing Library Transaction. Rather than utilizing a Library card, a camera would catch pictures of faces of understudy, playing out the library transaction and contrast them and the photographs of the understudy in the database of Library to confirm the understudy's personality. Nearby Binary Patterns, face calculations will used to lessen the effect of light presentation that will influence the exactness of the framework.

Authors and Affiliations

Aishwarya Tagade
BE Scholars, Department of Computer Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
Ashlesha Orke
BE Scholars, Department of Computer Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
Dipti Thool
BE Scholars, Department of Computer Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
Priyanka Mandhalkar
BE Scholars, Department of Computer Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
Prof. Amita Meshram
Assistant Professor, Department of Computer Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India

Biometrics, Library Transaction, Library card, Face Recognition

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1019-1023
Manuscript Number : CSEIT1833440
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aishwarya Tagade, Ashlesha Orke, Dipti Thool, Priyanka Mandhalkar, Prof. Amita Meshram, "Face Recognition Technique for Processing Library Transactions", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.1019-1023, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833440

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