127 citations · 1.1k across the 91 of their papers we have counts for
29 papers · 2 filters
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…
A Parallel Framework for Multilayer Perceptron for Human Face Recognition
M. K. Bhowmik, Debotosh Bhattacharjee, M. Nasipuri +2
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is tha…
Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study
M. K. Bhowmik, Debotosh Bhattacharjee, M. Nasipuri +2
In this paper we present a comparative study on fusion of visual and thermal images using different wavelet transformations. Here, coefficients of discrete wavelet transforms from…
Fusion of Daubechies Wavelet Coefficients for Human Face Recognition
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri +2
In this paper fusion of visual and thermal images in wavelet transformed domain has been presented. Here, Daubechies wavelet transform, called as D2, coefficients from visual and c…
Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri +2
This paper investigates the multiresolution level-1 and level-2 Quotient based Fusion of thermal and visual images. In the proposed system, the method-1 namely "Decompose then Quot…
Face Synthesis (FASY) System for Determining the Characteristics of a Face Image
Santanu Halder, Debotosh Bhattacharjee, Mita Nasipuri +2
This paper aims at determining the characteristics of a face image by extracting its components. The FASY (FAce SYnthesis) System is a Face Database Retrieval and new Face generati…
Fuzzy Classification of Facial Component Parameters
S. Halder, Debotosh Bhattacharjee, M. Nasipuri +2
This paper presents a novel type-2 Fuzzy logic System to define the Shape of a facial component with the crisp output. This work is the part of our main research effort to design a…
FPGA Based Assembling of Facial Components for Human Face Construction
Santanu Halder, Debotosh Bhattacharjee, Mita Nasipuri +2
This paper aims at VLSI realization for generation of a new face from textual description. The FASY (FAce SYnthesis) System is a Face Database Retrieval and new Face generation Sys…
Classification Of Gradient Change Features Using MLP For Handwritten Character Recognition
Sandhya Arora, Latesh Malik, Debotosh Bhattacharjee +1
A novel, generic scheme for off-line handwritten English alphabets character images is proposed. The advantage of the technique is that it can be applied in a generic manner to dif…
A novel approach for handwritten Devnagari character recognition
Sandhya Arora, Latesh Malik, Debotosh Bhattacharjee +1
In this paper a method for recognition of handwritten devanagari characters is described. Here, feature vector is constituted by accumulated directional gradient changes in differe…
A Two Stage Classification Approach for Handwritten Devanagari Characters
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri +1
The paper presents a two stage classification approach for handwritten devanagari characters The first stage is using structural properties like shirorekha, spine in character and…
Multiple Classifier Combination for Off-line Handwritten Devnagari Character Recognition
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri +2
This work presents the application of weighted majority voting technique for combination of classification decision obtained from three Multi_Layer Perceptron(MLP) based classifier…
Application of Statistical Features in Handwritten Devnagari Character Recognition
S. Arora, Debotosh Bhattacharjee, M. Nasipuri +2
In this paper a scheme for offline Handwritten Devnagari Character Recognition is proposed, which uses different feature extraction methodologies and recognition algorithms. The pr…
Recognition of Non-Compound Handwritten Devnagari Characters using a Combination of MLP and Minimum Edit Distance
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri +2
This paper deals with a new method for recognition of offline Handwritten non-compound Devnagari Characters in two stages. It uses two well known and established pattern recognitio…
Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri +3
Classification methods based on learning from examples have been widely applied to character recognition from the 1990s and have brought forth significant improvements of recogniti…
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri +1
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input f…
Classification of Polar-Thermal Eigenfaces using Multilayer Perceptron for Human Face Recognition
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri +2
This paper presents a novel approach to handle the challenges of face recognition. In this work thermal face images are considered, which minimizes the affect of illumination chang…
Face Synthesis (FASY) System for Generation of a Face Image from Human Description
Santanu Halder, Debotosh Bhattacharjee, Mita Nasipuri +2
This paper aims at generating a new face based on the human like description using a new concept. The FASY (FAce SYnthesis) System is a Face Database Retrieval and new Face generat…
Combining Multiple Feature Extraction Techniques for Handwritten Devnagari Character Recognition
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri +2
In this paper we present an OCR for Handwritten Devnagari Characters. Basic symbols are recognized by neural classifier. We have used four feature extraction techniques namely, int…
Text Region Extraction from Business Card Images for Mobile Devices
Ayatullah Faruk Mollah, Subhadip Basu, Nibaran Das +3
Designing a Business Card Reader (BCR) for mobile devices is a challenge to the researchers because of huge deformation in acquired images, multiplicity in nature of the business c…