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Implementation of CRAFT Text Detection
Deskew is a command line tool for deskewing scanned text documents. It uses Hough transform to detect "text lines" in the image. As an output, you get an image rotated so that the lines are horizontal.
Page to PAGE Layout Analysis Tool
Apply different text recognition services to images of handwritten documents.
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
Tool which allow you to detect and translate text.
TedEval: A Fair Evaluation Metric for Scene Text Detectors
An Implementation of the FOTS: Fast Oriented Text Spotting with a Unified Network
ICIP 2022: Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation
Scene text detection and recognition based on Extremal Region(ER)
Lightning Fast Language Prediction 🚀
document image degradation
No description.
Official Tensorflow Implementation of SATRN (CVPR Workshop WTDDLE 2020)
A novel region proposal network for more general object detection ( including scene text detection ).
An application of high resolution GANs to dewarp images of perturbed documents
Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE
CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extractor)
Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2
Perspective recovery of text using transformed ellipses
Solution for Problem 1 by team codesquad for AIDL 2020. Uses ML Kit for OCR and OpenCV for image processing
Repository collecting all the submodules for the new PyTorch-based OCR System.
No description.
MASTER
Corner-based Region Proposal Network
OCR using MXNet Gluon. The pipeline is composed of a CNN + biLSTM + CTC. The dataset is from: http://www.fki.inf.unibe.ch/databases/iam-handwriting-database. You need to register and get a username and password from their website.
A simple document layout analysis using Python-OpenCV
https://arxiv.org/abs/1904.01941
Toolbox for OCR post-correction
Repository for Scene Text Detection with Supervised Pyramid Context Network with tensorflow.