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    Deep Learning Based Residual Network Features for Telugu Printed Character Recognition

    Vijaya Krishna Sonthi1,*, S. Nagarajan1, N. Krishnaraj2

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1725-1736, 2022, DOI:10.32604/iasc.2022.026940

    Abstract In India, Telugu is one of the official languages and it is a native language in the Andhra Pradesh and Telangana states. Although research on Telugu optical character recognition (OCR) began in the early 1970s, it is still necessary to develop effective printed character recognition for the Telugu language. OCR is a technique that aids machines in identifying text. The main intention in the classifier design of the OCR systems is supervised learning where the training process takes place on the labeled dataset with numerous characters. The existing OCR makes use of patterns and correlations to differentiate words from other… More >

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