Review of methods for Handwritten Character Identification using Optical Character Recognition (OCR)

OCR Optical Character Recognition

OCR - Optical Character Recognition

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. The modern version of OCR appeared in the middle of the 1940's with the development of the digital computers. OCR machines have been commercially avail...

Ocr-optical Character Recognition

Optical Character Recognition or OCR is the electronic translation of handwritten, typewritten or printed text into machine translated images. It is widely used to recognize and search text from electronic documents or to publish the text on a website. OCR is the machine replication of human reading and has been the subject of intensive research for more than three decades. OCR can be described...

Handwritten Character Recognition: A Review

This paper presents an insight into the state-of-art in handwriting recognition systems and describes the evolution and progress in the field. An in-depth literature survey of Indic script recognition systems for Bangla, Devnagari, Gurumukhi, Kannada, Malayalam, tamil, and Urdu is presented. This study focuses on multitude of feature and classification techniques giving an insight into the effi...

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...