Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for Optical Character Recognition on hand written documents. This paper provides a comprehensive review of existing works in handwritten character recognition based on soft computing technique during the past decade. KeywordsHandwritten Cha...

This paper describes an on-line handwritten Japanese text recognition system that is liberated from constraints on line direction and character orientation. The recognition system first separates freely written text into text line elements, second estimates the line direction and character orientation using the time sequence information of pen-tip coordinates, third hypothetically segment it in...

Online Chinese handwriting recognition has attracted much research attention recently due to its complexity, wide-spread applications and emerging market demands. This material serves as a guide for pattern recognition researchers who have limited or no background in this language. We provide a brief review of the nature of the problem and challenges of online Chinese handwritten character reco...

The effectiveness of evolutionary learning depends both on the variation-selection search operations used and on the structure-function relations of the organization to which these operations are applied. Some organizations-in particular those that occur in biology-are more evolution friendly than others. We describe an artificial neuromolecular (ANM) architecture that illustrates the structure...

Handwritten Character Recognition is an important part of Pattern Recognition. This is also referred to as Intelligent Character Recognition (ICR). In this paper, a conditional probability based combination of multiple recognizers for character recognition will be introduced. After preprocessing the given character image, different feature recognition algorithms are employed, and their performa...

Character recognition techniques associate a symbolic identity with the image of character. Character recognition is commonly referred to as optical character recognition (OCR), as it deals with the recognition of optically processed characters. Handwriting recognition has been one of the most interesting and challenging research areas in the field of image processing and pattern recognition in...

This paper presents a precise system for handwritten Chinese and Japanese character recognition. Before extracting directional element feature (DEF) from each character image, transformation based on partial inclination detection (TPID) is used to reduce undesired effects of degraded images. In the recognition process, city block distance with deviation (CBDD) and asymmetric Mahalanobis distanc...

In this paper, we propose a novel scheme for recognition of handwritten numerals for a regional language Odia of the Indian continent. Additional attempts have also been made to implement this scheme for recognition of handwritten numerals of two other languages namely, Bangla and English. Thus, the proposed scheme has been generalised to three different languages. Three variants of time series...

Optical music recognition (OMR) is one of the most promising tools for generating large-scale, distributable libraries of musical data. Much OMR work has focussed on instrumental music, avoiding a special challenge vocal music poses for OMR: lyric recognition. Lyrics complicate the page layout, making it more difficult to identify the regions of the page that carry musical notation. Furthermore...