crnn-ocr
Here are 39 public repositories matching this topic...
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
-
Updated
Jun 12, 2019 - Python
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.
-
Updated
Oct 16, 2022 - Python
[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
-
Updated
Jul 25, 2019 - Python
Focal CTC for End-To-End OMR task with Class Imbalance, SangCTC (Part I)
-
Updated
Jul 2, 2020 - Jupyter Notebook
This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.
-
Updated
May 20, 2024 - Jupyter Notebook
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
-
Updated
Sep 11, 2020 - Python
pytorch implementation of crnn. A sample training of license plate is provided.
-
Updated
Oct 14, 2023 - Python
✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
-
Updated
May 1, 2019 - Jupyter Notebook
-
Updated
Sep 21, 2020 - Jupyter Notebook
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。
-
Updated
Sep 11, 2021 - JavaScript
-
Updated
Feb 3, 2020 - Python
Convolutional Recurrent Neural Network (CRNN) for reading Captchas(驗證碼)
-
Updated
Jan 20, 2021 - Jupyter Notebook
[YOLOv5-Seg][CRNN-CTC][CCPD]License Plate Detect/Segment/Recog
-
Updated
Aug 17, 2024 - Python
Application to spot and read text in shot images. Useful for blind people in supermarket.
-
Updated
Mar 21, 2023 - Python
Improve this page
Add a description, image, and links to the crnn-ocr topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the crnn-ocr topic, visit your repo's landing page and select "manage topics."