16 citations · 28 across the 5 of their papers we have counts for
7 papers
Human Face Recognition using Gabor based Kernel Entropy Component Analysis
Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu +2
In this paper, we present a novel Gabor wavelet based Kernel Entropy Component Analysis (KECA) method by integrating the Gabor wavelet transformation (GWT) of facial images with th…
High Performance Human Face Recognition using Gabor based Pseudo Hidden Markov Model
Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu +2
This paper introduces a novel methodology that combines the multi-resolution feature of the Gabor wavelet transformation (GWT) with the local interactions of the facial structures…
Face Recognition using Hough Peaks extracted from the significant blocks of the Gradient Image
Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu +2
This paper proposes a new technique for automatic face recognition using integrated peaks of the Hough transformed significant blocks of the binary gradient image. In this approach…
A Face Recognition approach based on entropy estimate of the nonlinear DCT features in the Logarithm Domain together with Kernel Entropy Component Analysis
Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu +2
This paper exploits the feature extraction capabilities of the discrete cosine transform (DCT) together with an illumination normalization approach in the logarithm domain that inc…
A Gabor block based Kernel Discriminative Common Vector (KDCV) approach using cosine kernels for Human Face Recognition
Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu +2
In this paper a nonlinear Gabor Wavelet Transform (GWT) discriminant feature extraction approach for enhanced face recognition is proposed. Firstly, the low-energized blocks from G…
An adaptive block based integrated LDP,GLCM,and Morphological features for Face Recognition
Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu +2
This paper proposes a technique for automatic face recognition using integrated multiple feature sets extracted from the significant blocks of a gradient image. We discuss about th…