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Convolutional Neural Networks for Character-level Classification
IEIE Transactions on Smart Processing and Computing
Optical character recognition (OCR) automatically recognizes text in an image. OCR is still a challenging problem in computer vision. A successful solution to OCR has important device applications, such as text-to-speech conversion and automatic document classification. In this work, we analyze character recognition performance using the current state-of-the-art deep-learning structures. One is the AlexNet structure, another is the LeNet structure, and the other one is the SPNet structure. Fordoi:10.5573/ieiespc.2017.6.1.053 fatcat:ewuywwkmerfjrh4jd7dbtfrjvi