Character recognition using tesseract enabling multilingualism.

Niharika, Gorsa Lakshmi; Bano, Shahana; Kumar, Pavuluri Shyam; Deepika, Tinnavalli; Thumati, Hampi

Abstract

Character recognition builds a recognizing factor for identifying the accuracy in characters. The accuracy of classifying the recognizing characters in an image is applied through deep learning methods. The character recognition is mainly focusing on the layers of text recognition through deep learning techniques. Well cleared python code assists to furnish all the levels of image by following deep learning that algorithmically analyse and recognize text from the given input image. This research work has been proposed for recognizing characters using deep learning techniques and recognize the input image with well-furnished and most efficient output. It provides a high level of accuracy-built output after the recognition of characters in the high-resolution image. This recognized character can be converted into user desired languages where the proposed model is trained to recognize some particular languages.

Citation

NIHARIKA, G.L, BANO, S., KUMAR, P.S., DEEPIKA, T. and THUMATI, H. 2020. Character recognition using tesseract enabling multilingualism. In Proceedings of the 4th International conference on electronics, communication and aerospace technology (ICECA 2020), 5-7 November 2020, Coimbatore, India. Piscataway: IEEE [online], pages 1321-1327. Available from: https://doi.org/10.1109/ICECA49313.2020.9297609

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 4th International conference on electronics, communication and aerospace technology (ICECA 2020)
• Start Date: Nov 5, 2020
• End Date: Nov 7, 2020
• Acceptance Date: Oct 7, 2020
• Online Publication Date: Dec 28, 2020
• Publication Date: Dec 31, 2020
• Deposit Date: Sep 20, 2023
• Publicly Available Date: Sep 20, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 1321-1327
• ISBN: 9781728163888
• DOI: https://doi.org/10.1109/ICECA49313.2020.9297609
• Keywords: Character recognition; Image processing; Deep learning; Machine learning
• Public URL: https://rgu-repository.worktribe.com/output/2064073