Abstract
Optical Character Recognition (OCR) of local languages is an important research area as the techniques developed for one language cannot apply directly to other languages. The paper presents the development of a new statistical method based on template matching and modified template matching used for recognition of a local language of the State of Maharashtra Marathi. It is noted that proposed method not only gives good recognition rate but also have offered good CPU and memory efficiency. Along with system accuracy, average CPU consumption and memory utilization is also analyses and found the acceptable minimum. The proposed algorithm for Marathi OCR is optimized for speed compared with the existing algorithm and hence permits porting on handheld devices with low processing power like Mobile phones. The algorithm is robust in terms of characters size and style of writing.
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Vibhute, P.M., Deshpande, M.S. (2018). Optical Character Recognition (OCR) of Marathi Printed Documents Using Statistical Approach. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_49
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