Digitizing physical documents using optical character recognition

Abhinav Kaushal Keshari; Rajat Sharma; Madhav J. Nigam

doi:10.1117/12.2516743

17 April 2019 Digitizing physical documents using optical character recognition

Abhinav Kaushal Keshari, Rajat Sharma, Madhav J. Nigam

Proceedings Volume 11071, Tenth International Conference on Signal Processing Systems; 110710H (2019) https://doi.org/10.1117/12.2516743
Event: Tenth International Conference on Signal Processing Systems, 2018, Singapore, Singapore

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.

Citation Download Citation

Abhinav Kaushal Keshari, Rajat Sharma, and Madhav J. Nigam "Digitizing physical documents using optical character recognition", Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710H (17 April 2019); https://doi.org/10.1117/12.2516743

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