65 citations · 147 across the 12 of their papers we have counts for
6 papers · 1 filter
Text/Graphics Separation for Business Card Images for Mobile Devices
Ayatullah Faruk Mollah, Subhadip Basu, Mita Nasipuri +1
Separation of the text regions from background texture and graphics is an important step of any optical character recognition sytem for the images containg both texts and graphics.…
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…
Handwritten Arabic Numeral Recognition using a Multi Layer Perceptron
Nibaran Das, Ayatullah Faruk Mollah, Sudip Saha +1
Handwritten numeral recognition is in general a benchmark problem of Pattern Recognition and Artificial Intelligence. Compared to the problem of printed numeral recognition, the pr…
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…
Text/Graphics Separation and Skew Correction of Text Regions of Business Card Images for Mobile Devices
Ayatullah Faruk Mollah, Subhadip Basu, Mita Nasipuri
Separation of the text regions from background texture and graphics is an important step of any optical character recognition system for the images containing both texts and graphi…