publication . Article . Other literature type . 2018

a study on optical character recognition techniques

Narendra Sahu; Sonkusare, Manoj;
Open Access
  • Published: 20 Jan 2018 Journal: International Journal of Computational Science, Information Technology and Control Engineering, volume 4, pages 1-15 (eissn: 2394-7527, Copyright policy)
  • Publisher: Academy and Industry Research Collaboration Center (AIRCC)
Abstract
Optical Character Recognition (OCR) is the process which enables a system to without human intervention identifies the scripts or alphabets written into the users’ verbal communication. Optical Character identification has grown to be individual of the mainly flourishing applications of knowledge in the field of pattern detection and artificial intelligence. In our survey we study on the various OCR techniques. In this paper we resolve and examine the hypothetical and numerical models of Optical Character Identification. The Optical character identification or classification (OCR) and Magnetic Character Recognition (MCR) techniques are generally utilized for the...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Optical Character Identification, offline Hand written Character Recognition, Pre-processing, characteristic Extraction, categorization, Post Processing, Artificial intelligence, business.industry, business, Pattern recognition, Optical character recognition, computer.software_genre, computer, Computer science, 100504 Data Communications, 100510 Wireless Communications
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