Face Recognition in Real Time for Attendance Marking System

Authors

  • Shubhankar Sharma  ECE, Bhagwan Parshuram Institute of Technology, Delhi, India
  • Tanushree Gupta  ECE, Bhagwan Parshuram Institute of Technology, Delhi, India
  • Risheek Kumar  ECE, Bhagwan Parshuram Institute of Technology, Delhi, India

Keywords:

Face Recognition, ECOC in face recognition, Facial Features, Face Extraction, Face Registration , Normalization of faces, Error correcting output coding, Error Back Propagation algorithm, Face Recognition, Face Database, Face Detection, Face Recognition.

Abstract

The face recognition system is developed to be operated in real time, scanning, comparing and giving the desired output with minimal time delays. This paper describes an Error Correcting Output Codes (ECOC) based model which has been used in our software. ECOC is an output representation method capable of discovering some of the errors produced in classification tasks. ECOC classifier is used for training and improving the generally use feed forward neural networks (FFNN), in order to enhance the precision of the classification systems. The experimental results on the database made from the pictures of students of Bhagwan Parshuram Institute of Technology show the correctness and authenticity of our model. With a minimal delay and error rate high reliability is achieved. The paper is concluded with future uses of this model and concept.

References

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International Journal of Scientific Research in Science and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

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Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shubhankar Sharma, Tanushree Gupta, Risheek Kumar, " Face Recognition in Real Time for Attendance Marking System, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.1602-1606, March-April-2018.