Converting Hand-written Content of  Scanned Images  to  Digital Documents

Harshada P.zade; Yogeshree G.  Nikude; Harshal  U. Tingne; Apurva S. Pole; Mohini M .Duakre

Converting Hand-written Content of Scanned Images to Digital Documents

June 2021

Vol-7, Issue-3

Paper ID: 14566

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

computer Science engineering

Keywords

text recognition converting text.

Abstract

This paper presents an innovative idea of converting different human handwriting for example cursive into Digital text using Conventional Neural Networks, Optical Character Recognition and Intelligent Word Recognition (IWR).we aim to build computer application which will instinctively read the contents from scanned images. Challenges involved in this project was recognizing the various types of characters of human handwriting as well as quality of images . though we have move towards the digitalized world and everyone is talking about digital transformation ,organizations will always have a stack of files or documents as a part of their business. so it is very important nowadays to store the handwritten documents into computer readable form. Thus we need to find perfect character recognition algorithm to perform digitalization of this documents.

License

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Author Information

#	Name	Institute / Affiliation
1	Harshada P.zade	Datta Meghe Institute of Engineering Technology and Research ,wardha
2	Yogeshree G. Nikude	Datta Meghe Institute of Engineering Technology and Research ,wardha
3	Harshal U. Tingne	Datta Meghe Institute of Engineering Technology and Research ,wardha
4	Apurva S. Pole	Datta Meghe Institute of Engineering Technology and Research ,wardha
5	Mohini M .Duakre	Datta Meghe Institute of Engineering Technology and Research ,wardha

How to Cite

Use the following formats to cite this article in your research.

APA Style

P.zade, Harshada, Nikude, Yogeshree G. , Tingne, Harshal U., Pole, Apurva S., & .Duakre, Mohini M (2021). Converting Hand-written Content of Scanned Images to Digital Documents. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 3126-3128.

MLA Style

P.zade, Harshada, et al. "Converting Hand-written Content of Scanned Images to Digital Documents." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 3126-3128.

IEEE Style

Harshada P.zade, Yogeshree G. Nikude, Harshal U. Tingne, Apurva S. Pole, and Mohini M .Duakre, "Converting Hand-written Content of Scanned Images to Digital Documents," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 3126-3128, 2021.

Vancouver Style

P.zade Harshada, Nikude Yogeshree G. , Tingne Harshal U., Pole Apurva S., .Duakre Mohini M. Converting Hand-written Content of Scanned Images to Digital Documents. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):3126-3128.

Harvard Style

P.zade, Harshada, Nikude, Yogeshree G. , Tingne, Harshal U., Pole, Apurva S., & .Duakre, Mohini M (2021) 'Converting Hand-written Content of Scanned Images to Digital Documents', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 3126-3128.

Chicago Style

P.zade, Harshada, et al. "Converting Hand-written Content of Scanned Images to Digital Documents." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 3126-3128.

Turabian Style

P.zade, Harshada, et al. "Converting Hand-written Content of Scanned Images to Digital Documents." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 3126-3128.