Handwritten Myanmar Character Recognition System using the Otsu’s Binarization Algorithm

Nyein, Aye Aye and Khaung Tin, Hlaing Khaung (2021) Handwritten Myanmar Character Recognition System using the Otsu’s Binarization Algorithm. In: ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India.

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Abstract

Handwritten is a famous techniques involved in many recognition system in image processing and pattern recognition. In this paper, first step is pre-processing includes noise reduction, colour conversion and edge detection method to segment Handwritten Myanmar Characters from the image. Also, Open Source Tesseract OCR engine is used to recognize the segmented Handwritten Myanmar Characters. The recognition accuracy will highly depend on the good segmentation. Some of the handwritten recognition applications are criminal documentation, security method, image and Movie managing and medical science research on Myanmar character recognition is still in its early days with limited literature available till date

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: handwritten myanar character recognition system feature extraction edge detection
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 06 May 2021 09:34
Last Modified: 06 May 2021 09:34
URI: https://eprints.eudl.eu/id/eprint/2883

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