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Cursive Text Recognition in Natural Scene Images using Deep Convolutional Recurrent Neural Network
2022
IEEE Access
Text recognition in natural scene images is a challenging problem in computer vision. Different than the optical character recognition (OCR), text recognition in natural scene images is more complex due to variations in text size, colors, fonts, orientations, complex backgrounds, occlusion, illuminations and uneven lighting conditions. In this paper, we propose a segmentation-free method based on a deep convolutional recurrent neural network to solve the problem of cursive text recognition,
doi:10.1109/access.2022.3144844
fatcat:qmyrwvwgercpnbk6zxkmx6yani