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Circular sector DCT based feature extraction for enhanced face recognition using histogram based dynamic gamma intensity correction

Authors:

Hardik Sanghavi,

S. Ramachandran,

K. ManikantanAuthors Info & Claims

CUBE '12: Proceedings of the CUBE International Information Technology Conference

Pages 74 - 81

https://doi.org/10.1145/2381716.2381732

Published: 03 September 2012 Publication History

Abstract

Face Recognition (FR) under varying lighting conditions is challenging and exacting illumination invariant features is an effective approach to solve this problem. In this paper, we propose a novel illumination normalization method called Histogram based Dynamic Gamma Intensity Correction, HDGIC, wherein the value of Λ is made to vary dynamically depending on the image. Also we propose a Circular sector DCT based Feature Extraction for enhancing the performance of the FR system. Individual stages of the FR system are examined and an attempt is made to improve each stage. A Binary Particle Swarm Optimization(BPSO)-based feature selection algorithm is used to search the feature vector space for the optimal feature subset. Experimental results, show the promising performance of quadrant of circle based DCT extraction technique together with HDGIC pre-processing for face recognition on Extended Yale B, Color FERET and ORL databases.

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Deepa, G. M., Keerthi, R., Meghana, N., Manikantan, K., 2012, "Face recognition using spectrum-based feature extraction", Applied Soft Computing Journal, http://dx.doi.org/10.1016/j.asoc.2012.04.015, Article in Press.

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Cited By

Macedo MSiqueira HFigueiredo ESantana CLira RGokhale ABastos-Filho C(2021)Overview on Binary Optimization Using Swarm-Inspired AlgorithmsIEEE Access10.1109/ACCESS.2021.31247109(149814-149858)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3124710
Niveditha GSharmila BManikantan KRamachandran S(2015)DWT-based face recognition using fast walsh hadamard transform and chiral image superimposition as pre-processing techniques2015 2nd International Conference on Electronics and Communication Systems (ICECS)10.1109/ECS.2015.7125001(7-14)Online publication date: Feb-2015
https://doi.org/10.1109/ECS.2015.7125001

Index Terms

Circular sector DCT based feature extraction for enhanced face recognition using histogram based dynamic gamma intensity correction
1. Computing methodologies
  1. Machine learning

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Information

Published In

cover image ACM Other conferences

CUBE '12: Proceedings of the CUBE International Information Technology Conference

September 2012

879 pages

ISBN:9781450311854

DOI:10.1145/2381716

General Chair:
Vidyasagar Potdar
Curtin University, Australia
,
Program Chair:
Debajyoti Mukhopadhyay
Maharashtra Institute of Technology, India

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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CUOT: Curtin University of Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 September 2012

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CUBE '12: CUBE International IT Conference & Exhibition

September 3 - 5, 2012

Pune, India

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Cited By

Macedo MSiqueira HFigueiredo ESantana CLira RGokhale ABastos-Filho C(2021)Overview on Binary Optimization Using Swarm-Inspired AlgorithmsIEEE Access10.1109/ACCESS.2021.31247109(149814-149858)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3124710
Niveditha GSharmila BManikantan KRamachandran S(2015)DWT-based face recognition using fast walsh hadamard transform and chiral image superimposition as pre-processing techniques2015 2nd International Conference on Electronics and Communication Systems (ICECS)10.1109/ECS.2015.7125001(7-14)Online publication date: Feb-2015
https://doi.org/10.1109/ECS.2015.7125001

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