81 citations · 449 across the 22 of their papers we have counts for
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A comparative study of different feature sets for recognition of handwritten Arabic numerals using a Multi Layer Perceptron
Nibaran Das, Ayatullah Faruk Mollah, Ram Sarkar +1
The work presents a comparative assessment of seven different feature sets for recognition of handwritten Arabic numerals using a Multi Layer Perceptron (MLP) based classifier. The…
Text Region Extraction from Business Card Images for Mobile Devices
Ayatullah Faruk Mollah, Subhadip Basu, Nibaran Das +3
Designing a Business Card Reader (BCR) for mobile devices is a challenge to the researchers because of huge deformation in acquired images, multiplicity in nature of the business c…
Binarizing Business Card Images for Mobile Devices
Ayatullah Faruk Mollah, Subhadip Basu, Nibaran Das +3
Business card images are of multiple natures as these often contain graphics, pictures and texts of various fonts and sizes both in background and foreground. So, the conventional…
Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier
Nibaran Das, Bindaban Das, Ram Sarkar +3
A novel approach for recognition of handwritten compound Bangla characters, along with the Basic characters of Bangla alphabet, is presented here. Compared to English like Roman sc…
Word level Script Identification from Bangla and Devanagri Handwritten Texts mixed with Roman Script
Ram Sarkar, Nibaran Das, Subhadip Basu +3
India is a multi-lingual country where Roman script is often used alongside different Indic scripts in a text document. To develop a script specific handwritten Optical Character R…