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text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
A tensorflow implementation of EAST text detector
End-to-end Chinese scene-text detection and recognition with CTPN, CRNN, and CTC (legacy project).
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Deep Learning Chinese Word Segment
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
OCR software for recognition of handwritten text
🖺 OCR using tensorflow with attention
Rotational region detection based on Faster-RCNN.
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
This is a tensorflow re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network.My blog:
Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture
Generic framework for historical document processing
CNN+LSTM+CTC based OCR implemented using tensorflow.
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
Handwritten Text Recognition
Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE
Textboxes : Image Text Detection Model : python package (tensorflow)
Textboxes_plusplus implementation with Tensorflow (python)
TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.
This project modify tensorflow object detection api code to predict oriented bounding boxes. It can be used for scene text detection.
TextMountain: Accurate Scene Text Detection via Instance Segmentation
OCR detection implement with tensorflow v1.4