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Rajat Sharma

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Proceedings Article | 17 April 2019 Paper

Digitizing physical documents using optical character recognition

Abhinav Kaushal Keshari, Rajat Sharma, Madhav Nigam

Proceedings Volume 11071, 110710H (2019) https://doi.org/10.1117/12.2516743

KEYWORDS: Optical character recognition, Image processing, Image segmentation, Gaussian filters, Image enhancement

Read Abstract +

The need to convert printed text into a computer documented form which can be edited has increased rapidly in recent years which is fulfilled by using Optical Character Recognition (OCR). The challenge is to develop a character recognition mechanism which can convert these scanned images to an electronic mode which will provide the feature to reuse this text, access to every line and word of the document. This paper analyzes the architecture and method used for text recognition in OCR performed by Tesseract and extend this to an application which can transform sources of large number of paper printed documents like magazines, books, newspapers, etc. to an editable electronic format. This paper hence provides an application system that can make digitization of the physical documents faster and better with more accuracy.

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