Language data for the Tesseract OCR system currently supports recognition of a number of languages written in Indic writing scripts. An initial study is described to create comparable data for Tesseract training and evaluation based on two approaches to character segmentation of Indic scripts; logical vs. visual. Results indicate further investigation of visual based character segmentation lang...

Automatic Number Plate Recognition (ANPR) is a special form of Optical Character Recognition (OCR). ANPR is an image processing technology which identifies the vehicle from its number plate automatically by digital pictures. In this paper we have presented an algorithm for vehicle number identification based on Optical Character Recognition (OCR). OCR is used to recognize an optically processed...

This article details the work undertaken by the National Library of Australia Newspaper Digitisation Program on identifying and testing solutions to improve OCR accuracy in large scale newspaper digitisation programs. In 2007 and 2008 several different solutions were identified, applied and tested on digitised material now available in the Australian Newspapers Digitisation Program beta service...

Optical Character Recognition (OCR) document. WARNING! Spelling errors might subsist. In order to access to the original document in image form, click on "Original" button on 1st page. Optical Character Recognition (OCR) document. WARNING! Spelling errors might subsist. In order to access to the original document in image form, click on "Original" button on 1st page. Optical Character Recogniti...

This paper describes shortly a practical integrated system for scientific documents including mathematical formulae, named ‘Infty’. The system consists of three components of applications: an OCR system named ‘InftyReader’, an editor named ‘InftyEditor’ and converting tools into various formats. Those applications are linked each other via XML files. InftyReader recognizes scanned images of cle...

The optical character recognition (OCR) is the process of converting textual scanned image into a computer editable format. The proposed OCR system is for complex handwritten Kannada characters. One of the major challenges faced by Kannada OCR system is recognition of handwritten text from an image. The input text image is subjected to preprocessing and then converted into binary image. Segment...

Assistant Professor, HIET, Kaithal (Haryana) E-mail: [email protected] 2 Assistant Professor, NIT, Kurukshetra (Haryana) E-mail: [email protected], Assistant Professor, HIET, Kaithal (Haryana) E-mail: [email protected] Assistant Professor, HCTM, Kaithal (Haryana) E-mail: [email protected] Abstract —OCR is the acronym for Optical Character Recognition. This technology allows a machine...

This paper describes an Optical Character Recognition (OCR) system for printed text documents in Kannada, a South Indian language. The proposed OCR system for the recognition of printed Kannada text, which can handle all types of Kannada characters. The system first extracts image of Kannada scripts, then from the image to line segmentation then segments the words into sub-character level piece...

A classifier for predicting the character accuracy achieved by any Optical Character Recognition (OCR) system on a given page is presented. This classifier is based on measuring the amount of white speckle, the amount of character fragments, and overall size information in the page. No output from the OCR system is used. The given page is classified as either “good” quality (i.e., high OCR accu...

Intensive research has been done on optical character recognition ocr and a large number of articles have been published on this topic during the last few decades. Many commercial OCR systems are now available in the market, but most of these systems work for Roman, Chinese, Japanese and Arabic characters. There are no sufficient number of works on Indian language character recognition especial...