Sunday 24th of September 2017
 

Face Recognition using Image Gradient Regression Approach


Shafiqul Abidin, Ujjawal Jain, Saurabh Gupta and Dr. S. C. Gupta

This paper represents a robust face recognition system. The proposed face recognition system consist is useful in forming an effective face recognition. Proposed methodovercomes the problem of multi collinearity and also give good results in case of small sample size (SSS) problem . In Image Gradient Regression Approach (IGRA), first in preprocessing stage image is transformed by normalizing gradient of the image. Then image is converted into zero average data matrix. After preprocessing ridge regression is executed on projected data and identity is determined by calculating maximum correlation coefficient. Experiments carried out on faces94 and Pie facial databases reveal that the proposed framework outperforms the state-of-the-art methods and demonstrates promising abilities against face recognition.

Keywords: IGRA, Principal component analysis(PCA), Principal component analysis with zero centredimage (PCAZ), FRR,FAR

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ABOUT THE AUTHORS

Shafiqul Abidin
Dr. Shafiqul Abidin MCA, M. Tech, Ph. D. (Computer Science & Engineering) is working as Associate Professor in the department of Computer Science & Engineering, Northern India Engineering College (GGSIP University), New Delhi, India. He possesses vast experience of teaching and administration. His research areas include Computer Network / Security, RFID / WSN, Software Engineering and Data Warehousing. Dr. Abidin has published 18 research papers in national / international journals and conferences including IEEE. He is associated with various national / international journals as reviewer and advisory board member. Dr. Abidin was appointed Reviewer for IEEE ISSDM 2012, Taipei, Taiwan.

Ujjawal Jain
Ujjawal Jain has accomplished his B. Tech and M. Tech (ECE) and is working as Assistant Professor in the department of Electronics and Communication Engineering, Northern India Engineering College (GGSIP University), New Delhi, India. He has published 6 research papers in various national / international journals and conferences including IEEE. His research areas are VLSI, Microelectronics & Embedded System.

Saurabh Gupta
Saurabh Gupta B. Tech, M. Tech is working as Assistant Professor in the department of Computer Science & Engineering, Northern India Engineering College (GGSIP University), New Delhi, India. He has rich experience of teaching, administration and software development. He has supervised and successfully implemented various software projects. Mr. Saurabh has published 8 research papers in national / international journals, conferences. His research area includes computer network and security.

Dr. S. C. Gupta
Prof. (Dr.) S. C. Gupta Director, Northern India Engineering College (NIEC) New Delhi has PhD degree in Electronics & Communication and post doctoral scholar from England in Opto Electronics. He has served Industry\'s as CEO for more than two decades. Dr. S.C Gupta is Fellow Member - IETE, Member - IEEE, Member - AIMA . He has obtained professional experience of 2 years in United Kingdom & Europe as faculty and electronic engineer. He has supervised four students for the awards of Ph. D. Degree. In addition, he directed several international / national conferences on topic related to Engineering & Management in India, UK and USA. Prof Gupta has published about 65 research papers in journals of international repute / conference proceedings. He is the author of two books \"Optical Fiber Communication\" and \"Opto Electronics Devices\" published by PHI in the year 2005 and 2006. He is recipient of Eight Prestigious National & International Awards. He has 15 years of rich experience in reputed Engineering Institutes as Head of ECE Department, Founder Director & Director. He has edited 06 technical books organized 06 FDP\'s and 4 Technical Fests .In the year 2009, he has been awarded \"Shiksha Bharti Puruskar\" & \"Lifetime Achievement Award for Excellence in Education\" along with Gold Medal due to his outstanding contribution in Technical Education


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