Brijesh Kumar Verma

A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters (2003)

Blumenstein, Michael Myer, Verma, Brijesh Kumar, Basli, Hasan

High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-based techniques for...

A Texture Feature Extraction Technique Using 2D-DFT and Hamming Distance (2003)

Tao, Yu, Muthukkumarasamy, Vallipuram, Verma, Brijesh Kumar, Blumenstein, Michael Myer

Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, it is important to...

Fuzzy-Heuristic Robot Navigation in a Simulated Environment (2003)

Deshpande, Suhrud Kuldeep, Blumenstein, Michael Myer, Verma, Brijesh Kumar

Computational intelligence techniques such as fuzzy logic and neural networks have been recently successful in enabling robots to cope with complex tasks, such as navigation in difficult...

Conventional vs Neuro-Conventional Segmentation Techniques for Handwriting Recognition: A Comparison (1998)

Blumenstein, Michael Myer, Verma, Brijesh Kumar

The success of Artificial Neural Networks (ANNs) has been prominent in many real-world applications including handwriting recognition. This paper compares two techniques for the task of segmenting...

Conventional vs Neuro-Conventional Segmentation Techniques for Handwriting Recognition: A Comparison (1998)

Blumenstein, Michael Myer, Verma, Brijesh Kumar

The success of Artificial Neural Networks (ANNs) has been prominent in many real-world applications including handwriting recognition. This paper compares two techniques for the task of segmenting...

Conventional vs Neuro-Conventional Segmentation Techniques for Handwriting Recognition: A Comparison (1998)

Blumenstein, Michael Myer, Verma, Brijesh Kumar

The success of Artificial Neural Networks (ANNs) has been prominent in many real-world applications including handwriting recognition. This paper compares two techniques for the task of segmenting...