CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
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Updated
Jul 22, 2019 - Python
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
Implementation of the TCS ION Remote Internship RIO-125
Convert handwriting images into text (OCR)
Realtime Indonesian License Plate Character Recognition
CRNN model for detecting and predicting the single-line text in a given image of TRSynth100k dataset.
Machine printed Hangul recognition based on CRNN
纯前端实现图片视频的文本检测,角度检测,文本识别等功能。 无需部署,打开即享。
This project implement basic OCR for Vietnamese from scratch with Pytorch, using CNN and BidirectionalLSTM
Convolutional recurrent network in pytorch for vietnamese handwritting
Application to spot and read text in shot images. Useful for blind people in supermarket.
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
Robust reading challenge on scanned receipts OCR and information extraction
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