awesome-ocr
github.com/wanghaisheng/awesome-ocr ↗A curated list of promising OCR resources
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me commercial products resources from awesome-ocr"
Installation instructions →What's inside
Commercial products
Librarys
- A comparasion among different variant of gradient descent algorithm This script implements and visualizes the performance the following algorithms, based on the MNIST hand-written digit recognition dataset:
- A curated list of resources dedicated to scene text localization and recognition
- Added support for CTC in both Theano and Tensorflow along with image OCR example. #3436
- A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs
- AgentOCR: AgentMaker/AgentOCR
- A implementation of LSTM and CTC to recognize image without splitting
Papers
- Adnan Ul-Hasan的博士论文
- A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs
- An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
- Applying OCR Technology for Receipt Recognition
- EXTENDING THE PAGE SEGMENTATION ALGORITHMS OF THE OCROPUS DOCUMENTATION LAYOUT ANALYSIS SYSTEM
- #ICML 2016#【通过DNN把数据空间映射到latent的特征空间做聚类，目标函数是最小化软分配与辅助分布直接的KL距离，来迭代优化，思想类似于t-SNE，只不过这里使用了DNN】《Unsupervised Deep Embedding for Clustering Analysis》
Blogs
Presentations
Showing a sample of 107 resources. View the full list on GitHub →