Library Management System Based on Face Recognition Technique

Authors

  • Aishwarya Admane  BE, Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Afrin Sheikh  BE, Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Sneha Paunikar  BE, Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Shruti Jawade  BE, Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Shubhangi Wadbude  BE, Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Prof. M. J. Sawarkar  Assistant Professor, Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India

Keywords:

Biometrics, Library Transaction, Library Card, Face Recognition

Abstract

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.

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Published

2019-04-30

Issue

Section

Research Articles

How to Cite

[1]
Aishwarya Admane, Afrin Sheikh, Sneha Paunikar, Shruti Jawade, Shubhangi Wadbude, Prof. M. J. Sawarkar, " Library Management System Based on Face Recognition Technique, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 2, pp.214-217, March-April-2019.