Khmer printed character recognition using attention-based Seq2Seq network
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This paper presents an end-to-end deep convolutional recurrent neural network solution for Khmer Optical Character Recognition (OCR) task. The proposed solution uses a sequenceto-sequence (Seq2Seq) architecture with an attention mechanism. The encoder extracts visual features from an input text-line image via layers of convolutional blocks and a layer of Gated Recurrent Units (GRU).
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