A Review on Optical Character Recognition Techniques

Abstract

At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents. This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system. OCR (Optical Character Recognition) translates images of typewritten or handwritten characters into the electronically editable format and it preserves font properties. Different techniques for preprocessing and segmentation have been surveyed and discussed in this paper. General TermsPattern Matching.

A Survey on Easy OCR Techniques used to build Systems for Visually Impaired People

“…An area based filtering is carried out to eliminate noise blobs present in the image. According to [1], only those regions in the final image are retained which have an area greater than or equal to 1/20 of the maximum area region.…”

“…into digitally written text. It's conversion of text within the pictures into American Standard Code for Information Interchange type at or the other machine editable form which might be used for exchange of data [1]. OCR includes a wide selection of application from automatic range plate recognition to pen computing.…”

“…It's a field of analysis in computing and pattern recognition. OCR doesn't cope with quality and sharpness of characters [1]. To overcome the restrictions of OCR, OCV comes into image [1].…”

“…OCR doesn't cope with quality and sharpness of characters [1]. To overcome the restrictions of OCR, OCV comes into image [1]. This paper discusses the techniques used for OCR in several of the systems designed for the visually impaired folks.…”

Segmentation of Touching Arabic Characters in Handwritten Documents by Overlapping Set Theory and Contour Tracing

“…Human can recognize any type of text image from historical and degraded documents lying in the libraries while computer can't directly understand these text images [1]. Many efforts are required to convert these historical documents to machine understandable format [2] [3] because it is not sufficient to store the information in image format [4]. Researchers are busy in developing new algorithms for segmentation of touching Arabic characters, but still this is long standing problem for conversion of handwritten images to electronic form [5] [6].…”