A Study on Tibetan Handwritten Ujinti Based on Tesseract_OCR
Currently,research on Tibetan handwritten Uchen script recognition is limited,mak-ing the study of a Tibetan handwritten Uchen script recognition system meaningful.This paper's primary research focuses on utilizing the Tesseract OCR recognition engine for automatic rec-ognition of Tibetan handwritten Uchen script and the training of relevant character libraries.Additionally,this paper efficiently processes datasets using the Matlab programming language and constructs a Tibetan handwritten Uchen script recognition system using the Python pro-gramming language.Experimental results demonstrate a significant improvement in the recogni-tion accuracy of Tibetan handwritten Uchen script as well as the quality of the character library when employing this system.This research not only holds significance for the advancement of Tibetan handwritten script recognition technology but also provides a powerful tool for the preservation and inheritance of the Uchen script cultural heritage.Future research will continue to explore Tibetan handwritten script recognition methods based on Tesseract OCR and further optimize the system for enhanced recognition performance.
Tibetan handwritten character recognitionTesseract_OCRimage preprocessinggrayscale binarizationmorphological processing
NETL
NSTL
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