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In this work, we jointly address the problem of text detection and recognition in natural scene images based on convolutional recurrent neural networks. We propose a unified network that simultaneously localizes and recognizes text with a single forward pass, avoiding intermediate processes, such as image cropping, feature re-calculation, word separation, and character grouping. In contrast to existing...
According to the slow speed of recognition, huge volume and other problems in the traditional character recognition system, we design an embedded character recognition system based on FPGA using DE2 development platform from Altera Company. This system takes the Programmable Logic Device FPGA embedded Nios II soft core as the controller, with software and hardware cooperatively achieving functions...
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