81 citations · 449 across the 22 of their papers we have counts for
4 papers · 1 filter
An Improved Feature Descriptor for Recognition of Handwritten Bangla Alphabet
Nibaran Das, Subhadip Basu, Ram Sarkar +3
Appropriate feature set for representation of pattern classes is one of the most important aspects of handwritten character recognition. The effectiveness of features depends on th…
A GA Based approach for selection of local features for recognition of handwritten Bangla numerals
Nibaran Das, Subhadip Basu, Punam Kumar Saha +3
Soft computing approaches are mainly designed to address the real world ill-defined, imprecisely formulated problems, combining different kind of novel models of computation, such…
Design of a novel convex hull based feature set for recognition of isolated handwritten Roman numerals
Nibaran Das, Sandip Pramanik, Subhadip Basu +3
In this paper, convex hull based features are used for recognition of isolated Roman numerals using a Multi Layer Perceptron (MLP) based classifier. Experiments of convex hull base…
Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach
Ram Sarkar, Bibhash Sen, Nibaran Das +1
The paper concentrates on improvement of segmentation accuracy by addressing some of the key challenges of handwritten Devanagari word image segmentation technique. In the present…