HANDWRITTEN CHARACTER RECOGNITION USING CNN

SHODA BHAVYA; SHAIK CHANDINI; SUVARAGATI DEEPIKA; PARVATHANENI KIRANMAYI

HANDWRITTEN CHARACTER RECOGNITION USING CNN

June 2022

Vol-8, Issue-3

Paper ID: 17187

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

ELECTRONICS AND COMMUNICATION ENGINEERING

Keywords

character recognition segmentation CNN architectures IAM dataset sequence modeling CTC layer

Abstract

This paper seeks to classify an individual handwritten word so that handwritten text can be translated to a digital form. The problem is a formulation of both classification as well as sequence modeling due to its inherent nature that the occurrence of individual characters depends on the previous few characters. We investigate various neural network architectures to build a model that performs character segmentation, and then reconstruct each word. We will train and test our model on IAM handwriting database.

License

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Author Information

#	Name	Institute / Affiliation
1	SHODA BHAVYA	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
2	SHAIK CHANDINI	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
3	SUVARAGATI DEEPIKA	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
4	PARVATHANENI KIRANMAYI	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

How to Cite

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

APA Style

BHAVYA, SHODA, CHANDINI, SHAIK, DEEPIKA, SUVARAGATI, & KIRANMAYI, PARVATHANENI (2022). HANDWRITTEN CHARACTER RECOGNITION USING CNN. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 3175-3181.

MLA Style

BHAVYA, SHODA, et al. "HANDWRITTEN CHARACTER RECOGNITION USING CNN." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 3175-3181.

IEEE Style

SHODA BHAVYA, SHAIK CHANDINI, SUVARAGATI DEEPIKA, and PARVATHANENI KIRANMAYI, "HANDWRITTEN CHARACTER RECOGNITION USING CNN," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 3175-3181, 2022.

Vancouver Style

BHAVYA SHODA, CHANDINI SHAIK, DEEPIKA SUVARAGATI, KIRANMAYI PARVATHANENI. HANDWRITTEN CHARACTER RECOGNITION USING CNN. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):3175-3181.

Harvard Style

BHAVYA, SHODA, CHANDINI, SHAIK, DEEPIKA, SUVARAGATI, & KIRANMAYI, PARVATHANENI (2022) 'HANDWRITTEN CHARACTER RECOGNITION USING CNN', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 3175-3181.

Chicago Style

BHAVYA, SHODA, et al. "HANDWRITTEN CHARACTER RECOGNITION USING CNN." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3175-3181.

Turabian Style

BHAVYA, SHODA, et al. "HANDWRITTEN CHARACTER RECOGNITION USING CNN." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3175-3181.