Rizoan Toufiq

Rizoan Toufiq
Rajshahi University of Engineering & Technology · Department of Computer Science & Engineering

BSc

About

7
Publications
239
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
35
Citations

Publications

Publications (7)
Conference Paper
This paper presents an approach to enhance the performance of appearance and shape based feature fusion for face recognition system using Principal Component Analysis and Hidden Markov Model. Though the traditional face recognition system is very sensitive to the face parameter variations, the proposed feature fusion based facial recognition system...
Conference Paper
Biometric technology plays a vital role for providing the security which is imperative part in secure system. Human face recognition is a potential method of biometric authentication. This paper presents a process of face recognition system using principle component analysis with Back-propagation neural network where features of face image has been...
Conference Paper
American Heart Association published a report on 17 th December, 2014 where hypertension is narrated as one of the foremost causes of death annually related to heart diseases. So it is a vital issue to predict hypertension from gene sequence to diagnosis this disease initially. According to this prediction, we can prevent and do treatment accuratel...
Conference Paper
The objective is to develop a dynamic decision selection method for face recognition system where minimum number of information about face are available to take correct decision. Statically we can develop such system where Bayesian method has been preferred in most case. It is better to fuse two or more classifier whose outputs are not highly corre...
Article
This paper presents an approach of face recognition system using Backpropagation learning neural network algorithm introducing appearance and shape based facial features to enhance the efficiency with different lighting variations. To extract the appearance and shape based facial feature, Active Appearance Model (AMM) has been applied. Appearance b...

Network

Cited By