[YOLOv5-Seg][CRNN-CTC]License Plate Detect/Segment/Recog
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Updated
Aug 17, 2024 - Python
[YOLOv5-Seg][CRNN-CTC]License Plate Detect/Segment/Recog
pytorch implementation of crnn. A sample training of license plate is provided.
Machine printed Hangul recognition based on CRNN
Application to spot and read text in shot images. Useful for blind people in supermarket.
Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation into words or characters. Use CTC loss Function to train.
Robust reading challenge on scanned receipts OCR and information extraction
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
This repository contains code for Scene Text OCR following the famous CRNN model. The detection part is handled by EAST and the recognition is done by CRNN.
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
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