This paper proposes a dynamic-context cooperative quantum-behaved particle swarm
optimization algorithm. The proposed algorithm incorporates a new method for dynamically …

In this paper we propose a novel character recognition method for Bangla compound
characters. Accurate recognition of compound characters is a difficult problem due to their …

The proper character level segmentation of printed or handwritten text is an important
preprocessing step for optical character recognition (OCR). It is noticed that the languages …

A novel technique for binarization with stroke preservation of faint characters in degraded
documents is proposed. It works in a multi-scale framework with an adaptive–interpolative …

This paper presents an improved discrete quantum particle swarm optimization (IDQPSO)
for 2-D maximum entropic multi-threshold image segmentation algorithm. Firstly, particle …

The purpose of this paper is to describe a localized Otsu based binarization algorithm that
improves results on non uniform background images. The algorithm divides the image into …

This paper describes a method for fast and reliable coin classification using multiple coin
images, taken in various conditions by different people. It also presents a possible solution …

An automatic system which classifies coins is presented and discussed. The system is
flexible, being able to identify coins with various appearances and photographed in different …

Binary image thinning has wide applications in image processing, machine vision, and
pattern recognition. Thinning is a preprocessing step to obtain single-pixel-thin skeleton for …

(OCR) is a system for recognizing characters from a pictorial format such as from printed
documents and representing them in editable digital format. A fully functional OCR is a …