Simulation Based Exploration of SKC Block Cipher Algorithm

Authors

  • Wilson S Manonmaniam Sundaranar University, Tirunelveli, India
  • Fred AL Mar Ephraem College of Engineering and Technology, Elavuvillai, Marthandam, India

DOI:

https://doi.org/10.26438/ijcse/v6i9.496501

Keywords:

Keyframe, Block matching algorithm,, face recognition

Abstract

Video based Face Recognition (VFR) has significantly more challenges when compared to Still Image-based Face Recognition (SIFR). The objective of this paper is to identify faces in video more precisely. In this paper, the minute details of the face are identified by block based technique. It is classified using neural network. The proposed method is tested with four publicly available datasets: Multiple Biometric Grand Challenge (MBGC), Face and Ocular Challenge Series (FOCS), Honda/UCSD and UMD Comcast10 datasets. The proposed method achieves higher recognition rate when compared to other recent methods.

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Published

2018-09-30
CITATION
DOI: 10.26438/ijcse/v6i9.496501
Published: 2018-09-30

How to Cite

[1]
S. Wilson and A. L. Fred, “Simulation Based Exploration of SKC Block Cipher Algorithm”, Int. J. Comp. Sci. Eng., vol. 6, no. 9, pp. 496–501, Sep. 2018.

Issue

Vol. 6 No. 9 (2018): IJCSE September Editor

Section

Research Article

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