Online Handwritten Text Recognition for Indian Scripts

Handwritten Character Recognition of South Indian Scripts: A Review

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 OCR on hand written documents. Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters, only a very few work can be traced for handwritten character recognition of Indian scripts es...

Efficient Zone Based Feature Extration Algorithm for Handwritten Numeral Recognition of Four Popular South Indian Scripts

Character recognition is the important area in image processing and pattern recognition fields. Handwritten character recognition has received extensive attention in academic and production fields. The recognition system can be either on-line or off-line. Off-line handwriting recognition is the subfield of optical character recognition. India is a multi-lingual and multi-script country, where e...

A review on handwritten character and numeral recognition for Roman, Arabic, Chinese and Indian scripts

There are a lot of intensive researches on handwritten character recognition (HCR) for almost past four decades. The research has been done on some of popular scripts such as Roman, Arabic, Chinese and Indian. In this paper we present a review on HCR work on the four popular scripts. We have summarized most of the published paper from 2005 to recent and also analyzed the various methods in crea...

Online Handwritten Character Recognition for Devanagari and Tamil Scripts Using Support Vector Machines

Handwritten Numeral Recognition using Local Intensity Order Pattern of Popular South Indian Scripts

Multi-lingual multi-script often poses various challenges in handwritten numeral classification. In this paper, we present a method for classification of off-line handwritten numerals of three popular Indian scripts. Here we consider Kannada, Telugu and Tamil scripts for our experiment. The features used in the classifier are obtained from local intensity order patter descriptor. For feature co...