CNN_LSTM_CTC_Tensorflow is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named CNN_LSTM_CTC_Tensorflow among their alternatives. The relationship is not symmetric — how CNN_LSTM_CTC_Tensorflow rates them is a separate judgement, made when CNN_LSTM_CTC_Tensorflow is analysed in its own right.
calls CNN_LSTM_CTC_Tensorflow “When you want an MIT-licensed TensorFlow CNN+CTC OCR baseline without the seed's multi-project management layer.”
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
calls CNN_LSTM_CTC_Tensorflow “same CNN+BLSTM+CTC architecture in TensorFlow, choose if you need a TensorFlow implementation instead of Caffe.”
主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构
calls CNN_LSTM_CTC_Tensorflow “research code for training a CNN-LSTM-CTC text recognizer; choose if you need a trainable TensorFlow model rather than a ready OCR engine.”
Tesseract Open Source OCR Engine (main repository)
calls CNN_LSTM_CTC_Tensorflow “Choose when you need a simple, older TensorFlow implementation of the CNN+LSTM+CTC OCR as a starting point for experimentation.”
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.