81 citations · 407 across the 29 of their papers we have counts for
29 papers
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…
A two-pass fuzzy-geno approach to pattern classification
Subhadip Basu, Mahantapas Kundu, Mita Nasipuri +1
The work presents an extension of the fuzzy approach to 2-D shape recognition [1] through refinement of initial or coarse classification decisions under a two pass approach. In thi…
Recognition of Handwritten Bangla Basic Characters and Digits using Convex Hull based Feature Set
Nibaran Das, Sandip Pramanik, Subhadip Basu +4
In dealing with the problem of recognition of handwritten character patterns of varying shapes and sizes, selection of a proper feature set is important to achieve high recognition…
Handwritten Bangla Alphabet Recognition using an MLP Based Classifier
Subhadip Basu, Nibaran Das, Ram Sarkar +3
The work presented here involves the design of a Multi Layer Perceptron (MLP) based classifier for recognition of handwritten Bangla alphabet using a 76 element feature set Bangla…