Support Vector Machine for Handwritten Character Recognition

Handwriting recognition has been one of the most fascinating and challenging research areas in field of image processing and pattern recognition. It contributes enormously to the improvement of automation process. In this paper, a system for recognition of unconstrained handwritten Malayalam characters is proposed. A database of 10,000 character samples of 44 basic Malayalam characters is used in this work. A discriminate feature set of 64 local and 4 global features are used to train and test SVM classifier and achieved 92.24% accuracy

Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition

Handwritten character recognition is an active research challenge,especially for Indian scripts. This paper deals with handwritten Malayalam, with a complete set of basic characters, vowel and consonant signs and compound characters that may be present in the script. Spatial domain features suitable for recognition are chosen in this work. For classification, k-NN, SVM and ELM are employed

Recognition of Documents in Braille

Visually impaired people are integral part of the society and it has been a must to provide them with means and system through which they may communicate with the world. In this work, I would like to address how computers can be made useful to read the scripts in Braille. The importance of this work is to reduce communication gap between visually impaired people and the society. Braille remains the most popular tactile reading code even in this century. There are numerous amount of literature locked up in Braille. Braille recognition not only reduces time in reading or extracting information from Braille document but also helps people engaged in special education for correcting papers and other school related works. The availability of such a system will enhance communication and collaboration possibilities with visually impaired people. Existing works supports only documents in white either bright or dull in colour. Hardly any work could be traced on hand printed ordinary documents in Braille.