This paper proposes an automatic text-independent writer identification framework that integrates an industrial handwriting recognition system, which is used to perform an automatic segmentation of an online handwritten document at the character level. Subsequently, a fuzzy c-means approach is adopted to estimate statistical distributions of character prototypes on an alphabet basis. These dist...

Handwriting Recognition Technology has been improving much under the purview of pattern recognition and image processing since a few decades. This paper focuses on the comprehensive survey on on-line handwriting recognition system along with the real application by taking Nepali natural handwriting (a real example of one of the cursive handwritings). The survey mainly includes pre-processing, f...

In this study, an improved HMM based recognition model is proposed for online English and Korean handwritten characters. The pattern elements of the handwriting model are sub character strokes and ligatures. To deal with the problem of handwriting style variations, a modified Hierarchical Clustering approach is introduced to partition different writing styles into several classes. For each of t...

This paper presents the introduction of context dependent Hidden Markov Models for cursive, uncon-strained handwriting recognition with large vocabularies. Since context dependent models were successfully introduced to speech recognition ((1], 2], 3]), it seems obvious, that the use of trigraphs could also lead to improved on-line handwriting recognition systems 4]. In analogy to triphones in s...

The Problem: In [3], we address the classic problem of handwritten character recognition. That is, given some classlabeled training examples of images of handwritten characters, identify the class of each of a set of test examples to the greatest possible accuracy. For example, when given a particular image of the character “8”, identify it as such. On isolated single character test images, suc...

Problem statement: Significant movement has been made in handwriting recognition technology over the last few years. Up until now, Arabic handwriting recognition systems have been limited to small and medium vocabulary applications, since most of them often rely on a database during the recognition process. The facility of dealing with large database, however, opens up many more applications. A...