Abstract
Recognizing words form images is the most atomic aspect of an OCR system. Inspired by the recent success of deep-learning based techniques in computer vision & sequence prediction, an end-to-end trainable CNN-RNN based neural network model for recognizing Telugu words from images is presented. This model can also be extended to other languages.
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Ram Bharadwaj, A., Venugopal, A., Surya Kiran, C., & Nageswara Rao, M. V. (2019). Telugu text extraction and recognition using convolutional and recurrent neural networks. International Journal of Engineering and Advanced Technology, 8(5), 1449–1451.
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