The project effort resulted in an evaluation of a correlation technique as implemented in an existing computer software program, as applied to automatic recognition of typeset printed characters which were sampled and digitized on a high-resolution scanner. Examples of Cyrillic and Latin text were ...
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extend existing research, and then write a formal paper on our work. I had trouble deciding on a project, so I went to see the professor, a Navy researcher who often worked on medical applications of computer vision and machine learning...
Deep learning is responsible for unprecedented accuracy in nearly every area of computer science. Which deep learning models, layer types, and loss functions should you be using for OCR?If you've ever found yourself struggling to apply OCR to a project, or if you're simply interested in learn...
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The proposed scheme achieved an accuracy of more than 99.8% using a dataset of more than 3M annotated letters from the Responsa Project dataset. 展开 关键词: Computer Science - Computer Vision and Pattern Recognition DOI: 10.48550/arXiv.1811.01290 年份: 2018 ...
then describes the construction of an optical character recognition (OCR) center built on computer clusters, for the purpose of dynamically improving the recognition precision of the digitized texts of a million volumes of books produced by the China-US Million Books Digital Library (CADAL) Project....
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Image Processing is a domain that is ever so steadily forming the integral core research area within the engineering and computer science disciplines. There are three different steps which are followed in a general Image Processing scenario. i.e., acquiring the image using an optical scanner or ...
https://github.com/DWCTOD/awesome-computer-vision Paper Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks intro: Google. Ian J. Goodfellow arxiv: https://arxiv.org/abs/1312.6082 End-to-End Text Recognition with Convolutional Neural Networks ...