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20102025
most citedDesign of an Optical Character Recognition System for Camera-based Handheld Devices

65 citations · 147 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

Malaria Detection from Blood Cell Images Using XceptionNet

Warisa Nusrat, Mostafijur Rahman, Ayatullah Faruk Mollah

Malaria, which primarily spreads with the bite of female anopheles mosquitos, often leads to death of people - specifically children in the age-group of 0-5 years. Clinical experts…

cs.CV2012

Computationally Efficient Implementation of Convolution-based Locally Adaptive Binarization Techniques

Ayatullah Faruk Mollah, Subhadip Basu, Mita Nasipuri

One of the most important steps of document image processing is binarization. The computational requirements of locally adaptive binarization techniques make them unsuitable for de…

cs.CV2011★ 65 cited

Design of an Optical Character Recognition System for Camera-based Handheld Devices

Ayatullah Faruk Mollah, Nabamita Majumder, Subhadip Basu +1

This paper presents a complete Optical Character Recognition (OCR) system for camera captured image/graphics embedded textual documents for handheld devices. At first, text regions…

cs.CV2011★ 13 cited

Segmentation of Camera Captured Business Card Images for Mobile Devices

Ayatullah Faruk Mollah, Subhadip Basu, Mita Nasipuri

Due to huge deformation in the camera captured images, variety in nature of the business cards and the computational constraints of the mobile devices, design of an efficient Busin…

cs.CV2010★ 4 cited

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…

cs.CV2010★ 27 cited

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…