Multi Variant Handwritten Telugu Character Recognition Using Transfer Learning

Online Handwritten Character Recognition Systems for Devanagari, Telugu and Kannada Status Report Online Handwritten Character Recognition Consortium

Handwritten Character Recognition Using Classifier

Character recognition comes into play when we want to recognize the hand written characters in a perticular natural language. It can be done using various types of method and algorithm that are already defined.Character recognition is essentially a pattern recognition problem and has been around for years now. Although there are implementation of hand written characters in many natural language...

Multi-font Optical Character Recognition System for Printed Telugu Text

The Telugu OCR systems available in the market currently recognize only the specific fonts of Telugu. This paper describes the development of a multi-font OCR system for printed Telugu characters using Artificial Neural Networks. In this system classification of the characters is carried out using multi layer neural network Architecture.

Online Recognition of Handwritten Telugu Characters

A system for online recognition of handwritten Telugu script is presented. A handwritten character is constructed by executing a sequence of strokes. A structureor shape-based representation of a stroke is used in which a stroke is represented as a string of shape features. Using this string representation, an unknown stroke is identified by comparing it with a database of strokes. A full chara...

Handwritten Tamil Character Recognition Using RCS Algorithm

Handwritten character recognition is a difficult problem due to the great variations of writing styles, different size and orientation angle of the characters. The scanned image is segmented into paragraphs using spatial space detection technique, paragraphs into lines using vertical histogram, lines into words using horizontal histogram, and words into character image glyphs using horizontal h...