95 citations · 483 across the 30 of their papers we have counts for
26 papers · 1 filter
Computationally Efficient Implementation of Convolution-based Locally Adaptive Binarization Techniques
Ayatullah Faruk Mollah, Subhadip Basu, Mita Nasipuri
One of the most important steps of document image processing is binarization. The computational requirements of locally adaptive binarization techniques make them unsuitable for de…
Human Face Recognition using Line Features
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri +2
In this work we investigate a novel approach to handle the challenges of face recognition, which includes rotation, scale, occlusion, illumination etc. Here, we have used thermal f…
Classification of Log-Polar-Visual Eigenfaces using Multilayer Perceptron
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri +2
In this paper we present a simple novel approach to tackle the challenges of scaling and rotation of face images in face recognition. The proposed approach registers the training a…
Classification of fused face images using multilayer perceptron neural network
Debotosh Bhattacharjee, Mrinal Kanti Bhowmik, Mita Nasipuri +2
This paper presents a concept of image pixel fusion of visual and thermal faces, which can significantly improve the overall performance of a face recognition system. Several facto…
Classification of Fused Images using Radial Basis Function Neural Network for Human Face Recognition
M. K. Bhowmik, Debotosh Bhattacharjee, M. Nasipuri +2
Here an efficient fusion technique for automatic face recognition has been presented. Fusion of visual and thermal images has been done to take the advantages of thermal images as…
Image Pixel Fusion for Human Face Recognition
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri +2
In this paper we present a technique for fusion of optical and thermal face images based on image pixel fusion approach. Out of several factors, which affect face recognition perfo…