Optical Character Recognition
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COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
The goal of COCO-Text is to advance state-of-the-art in text detection and recognition in natural images.
OBJECT RECOGNITION OPTICAL CHARACTER RECOGNITION SCENE TEXT DETECTION SCENE UNDERSTANDING
Image-to-Markup Generation with Coarse-to-Fine Attention
ICML 2017
• da03/Attention-OCR
• 
We present a neural encoder-decoder model to convert images into presentational markup based on a scalable coarse-to-fine attention mechanism.
ASTER: An Attentional Scene Text Recognizer with Flexible Rectification
SCENE text recognition has attracted great interest from the academia and the industry in recent years owing to its importance in a wide range of applications.
STN-OCR: A single Neural Network for Text Detection and Text Recognition
• Bartzi/stn-ocr
• 
In contrast to most existing works that consist of multiple deep neural networks and several pre-processing steps we propose to use a single deep neural network that learns to detect and recognize text from natural images in a semi-supervised way.
E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text
An end-to-end trainable (fully differentiable) method for multi-language scene text localization and recognition is proposed.
AON: Towards Arbitrarily-Oriented Text Recognition
CVPR 2018
• huizhang0110/AON
•
Existing methods on text recognition mainly work with regular (horizontal and frontal) texts and cannot be trivially generalized to handle irregular texts.
Case Study of a highly automated Layout Analysis and OCR of an incunabulum: 'Der Heiligen Leben' (1488)
This paper provides the first thorough documentation of a high quality digitization process applied to an early printed book from the incunabulum period (1450-1500).