Evaluating Performance of Nepali Script OCR using Tesseract and Artificial Neural Network
Sudan Prajapati, Shashidhar Ram Joshi, Aman Maharjan, Bikash Balami · 2018
This paper evaluates the performance of Nepali Script OCR using Tesseract and ANN. A dataset of 69 Nepali fonts with the 2,484 character samples of consonants was used in the study. With Tesseract, the overall accuracy of 96% was obtained in the training phase and 69% in the testing phase. Similarly, with ANN, an accuracy of 98% was obtained in training and 81% in testing.