127 citations · 563 across the 38 of their papers we have counts for
41 papers
Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification
Shuvayan Ghosh Dastidar, Kalpita Dutta, Nibaran Das +2
Multi-lingual script identification is a difficult task consisting of different language with complex backgrounds in scene text images. According to the current research scenario,…
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition
Animesh Singh, Ritesh Sarkhel, Nibaran Das +2
Finding local invariant patterns in handwrit-ten characters and/or digits for optical character recognition is a difficult task. Variations in writing styles from one person to ano…
A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network
Animesh Singh, Sandip Saha, Ritesh Sarkhel +3
Deep neural network-based architectures give promising results in various domains including pattern recognition. Finding the optimal combination of the hyper-parameters of such a l…
Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach
Saikat Roy, Nibaran Das, Mahantapas Kundu +1
In this work, a novel deep learning technique for the recognition of handwritten Bangla isolated compound character is presented and a new benchmark of recognition accuracy on the…
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…