A. N. M. Rezaul Karim

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Principle Component Analysis (PCA) is an important and well-known technique of face recognition, where eigenvectors are used. In this paper, we propose a face recognition technique, which combines Eigenvectors with Singular Value Decomposition (SVD) techniques to reduce size of the Eigen-matrix. The detailed theoretical derivation and analysis are presented(More)
Speech recognition and speaker identification are important for authentication and verification in security purpose, but they are difficult to achieve. Speaker identification methods can be divided into text-independent and text-dependent. This paper presents a technique of text-dependent speaker identification using MFCC-domain support vector machine(More)
Vision-based systems for remote surveillance usually involve change detection algorithms for intruders, obstacles or irregularities detection. Real time applications require simple, fast and reliable algorithms for change detection methodology. Morphological change detection algorithm satisfies these requirements. Threshold is a very important issue for(More)
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