Md. Akkas Ali

Work place: Dept. of CSE, BUET, Dhaka-1000, Bangladesh



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Computer Networks, Image Processing, Data Structures and Algorithms


Md. Akkas Ali is working as a Lecturer and Course Coordinator at the Department of CSE & IT, University of Information Technology & Sciences (UITS), Baridhara, Dhaka-1212, Bangladesh. He completed his B.Sc Engg. in CSE from Chittagong University of Engineering and Technology (CUET), Chittagong-4349, Bangladesh. His M.Sc Engg. in CSE is running at Bangladesh University of Engineering and Technology (BUET), Dhaka-1000, Bangladesh. His research interest areas are the image processing, Computer Networks, Computer Networks and Data Security, Compiler, Theory of Computations, etc. His several papers accepted in International Journals.

Author Articles
A Biometric Based: 3-D Ear Recognition System Combining Local and Holistic Features

By Md. Akkas Ali Mohammad. Mahfuzul Islam

DOI:, Pub. Date: 8 Nov. 2013

This paper introduces an improved ear recognition approach based on 3 dimensional keypoint matching and combining local and holistic features. At first, the 3D keypoints are detected using the shape index image. The system consists of four primary steps: i) ear image segmentation; ii) local feature extraction and matching; iii) holistic feature extraction and matching; and iv) combination of local and holistic features at the match score level. For the segmentation purpose, we use an efficient skin segmentation algorithm, to localize a rectangular region containing the ear. For the local feature extraction and representation purpose, we use the Sparse Representation based Localized Feature Extraction. For the holistic matching component, we introduce a voxelization scheme for holistic ear representation. The match scores obtained from both the local and holistic matching components are combined to generate the final match scores.

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