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Awesome List
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GitHub stars and default-branch commits for zacharywhitley/awesome-ocr.
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Tesseract Open Source OCR Engine (main repository)
A tensorflow implementation of EAST text detector
Deep Learning Chinese Word Segment
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ScanTailor Advanced is the version that merges the features of the ScanTailor Featured and ScanTailor Enhanced versions, brings new ones and fixes.
TextBoxes++: A Single-Shot Oriented Scene Text Detector
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Geometric Augmentation for Text Image
This is a tensorflow re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network.My blog:
OCR, Scene-Text-Understanding, Text Recognition
Synthetic Scene Text from 3D Engines
Single Shot Text Detector with Regional Attention
An Implementation of the FOTS: Fast Oriented Text Spotting with a Unified Network
Scene text detection and recognition based on Extremal Region(ER)
Corner-based Region Proposal Network
Pre-Recognize Library - library with algorithms for improving OCR quality.
RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection (TIP 2019)
End-to-end pipeline for real-time scene text detection and recognition.
caffe re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.
This is a c++ project deploying a deep scene text reading pipeline with tensorflow. It reads text from natural scene images. It uses frozen tensorflow graphs. The detector detect scene text locations. The recognizer reads word from each detected bounding box.
EAST for ICPR MTWI 2018 Challenge II (Text detection of network images)
TextBoxes: A Fast Text Detector with a Single Deep Neural Network https://github.com/MhLiao/TextBoxes 基于SSD改进的文本检测算法,textBoxes_note记录了之前整理的笔记。
Document Layout Analysis Projects
Segmenting a given document using recursive xy-cut algorithm.
wrap EAST model with flask. Also replace lanms's C++ code with python implementation