Friday 26th of April 2024
 

Boosting Facial Expression Recognition in a Noisy Environment Using LDSP-Local Distinctive Star Pattern


Mohammad Shahidul Islam, Tarikuzzaman Emon and Tarin Kazi

This paper presents a local feature descriptor, the Local Distinctive Star Pattern (LDSP), for facial expression recognition. The feature is obtained from a local 3x3 pixels area by computing the directional edge response value. Each pixel is represented by two 4-bit binary patterns, which is named as LDSP feature for that pixel. Each face is divided into 81 equal sized blocks and histogram of LDSP codes from those blocks are concatenated to build the feature vector for classification. The recognition performance of our descriptor is tested on popular JAFFE dataset with Support vector Machine (SVM) as classifier. Extensive experimental results with prototype expressions show that proposed LDSP descriptor is superior to existing appearance-based feature descriptor in terms of classification accuracy on static image.

Keywords: Facial Expression Recognition, Image Processing, Local Feature, Pattern Recognition, JAFFE, Computer Vision

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ABOUT THE AUTHORS

Mohammad Shahidul Islam
Mohammad Shahidul Islam (Ph.D.) received his B.Tech. degree in Computer Science and Technology from Indian Institute of Technology-Roorkee (I.I.T-R), Uttar Pradesh, INDIA in 2002, M.Sc. degree in Computer Science from American World University, London Campus, U.K in 2005 and M.Sc. in Mobile Computing and Communication from University of Greenwich, London, U.K in 2008. He was serving as an Assistant Professor in the department of Computer Science at Atish Dipankar University of Science & Technology, Dhaka, Bangladesh. He has successfully completed his Ph.D. degree in Computer Science & Information Systems from National Institute of Development Administration (NIDA), Bangkok, THAILAND. His field of research interest includes Image Processing, Pattern Recognition, wireless and mobile communication, Satellite Commutation and Computer Networking.

Tarikuzzaman Emon
Tarikuzzaman Emon received his B.Sc. degree in Computer Science and Engineering from East West University, Dhaka, Bangladesh in 2006, M.Sc. degree in Computer Networking from London Metropolitan University, London, U.K in 2011 and PG.Cert. in Computer System and Networking from University of Greenwich, London, U.K in 2010. He was serving as an IT Field Technician in the IT division at Pret-A-Manager, London, UK from 2007 to 2012. He is serving as a Lecturer in the department of Computer Science & Engineering at Stamford University Bangladesh, Dhaka, Bangladesh. His field of research interest includes Computer Networking, wireless mobile communication, Image Processing and Pattern Recognition.

Tarin Kazi
Tarin Kazi received her B.Sc Engineering Degree from Ahsanullah University of Science & Technology, Bangladesh. She is serving as a Lecturer in the department of Computer Science & Engineering at Stamford University Bangladesh, Dhaka, Bangladesh.


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