Mohammad Abu Yousuf

Work place: Institute of Information Technology, Jahangirnagar University, Bangladesh



Research Interests: Computer systems and computational processes, Computer Vision, Pattern Recognition, Image Processing


Mohammad Abu Yousuf was born on 1st January 1978 in Bangladesh. He completed his B.Sc. from Shahajalal University of Science and Technology, Bangladesh in 1999. Then he earned his M.Sc. degree Kyung Hee University, South Korea specializing in Biomedical Engineering in 2009. Then he acquired his Ph.D. from Saitama University, Japan in 2013.

He is currently working as an Associate Professor at the Institute of Information Technology, Jahangirnagar University.

Dr. Yousuf is a member of the IEEE Computer Society. He has got more than thirty scientific publications in the field of Image Processing, Computer Vision and Pattern Recognition. He has received the Japanese Government Fellowship for the Ph.D. program.

Author Articles
An Efficient Framework for Hand Gesture Recognition based on Histogram of Oriented Gradients and Support Vector Machine

By Ahmed Abdal Shafi Rasel Mohammad Abu Yousuf

DOI:, Pub. Date: 8 Dec. 2019

This paper focuses on an empirical hand gesture recognition system in the domain of image processing and machine learning. The hand gesture is probably the most intuitive and frequently used mode of nonverbal communication in human society. The paper analyzes the efficiency of the Histogram of Oriented Gradients (HOG) as the feature descriptor and Support Vector Machine (SVM) as the classification model in case of gesture recognition. There are three stages of the recognition procedure namely image binarization, feature extraction, and classification. The findings of the paper show that the model classifies hand gestures for the given dataset with satisfactory efficiency. The outcome of this work can be further utilized in practical fields of real-world applications dealing with non-verbal communication. 

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