Text detection, recognition, and script identification in natural scene images: A Review
Text in natural scene images plays a vital role in scene understanding. It contains a rich and
abundant amount of valuable semantic information useful in many applications such as …
abundant amount of valuable semantic information useful in many applications such as …
Traditional to transfer learning progression on scene text detection and recognition: a survey
Many computer vision-based techniques utilize semantic information ie scene text present in
a natural scene for image analysis. Subsequently, in recent times researchers pay more …
a natural scene for image analysis. Subsequently, in recent times researchers pay more …
Multi-orientation scene text detection with adaptive clustering
XC Yin, WY Pei, J Zhang… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Text detection in natural scene images is an important prerequisite for many content-based
image analysis tasks, while most current research efforts only focus on horizontal or near …
image analysis tasks, while most current research efforts only focus on horizontal or near …
Scene text detection and recognition with advances in deep learning: a survey
Scene text detection and recognition has become a very active research topic in recent
several years. It can find many applications in reality ranging from navigation for vision …
several years. It can find many applications in reality ranging from navigation for vision …
ICDAR 2013 handwriting segmentation contest
This paper presents the results of the Handwriting Segmentation Contest that was organized
in the context of the ICDAR2013. The general objective of the contest was to use well …
in the context of the ICDAR2013. The general objective of the contest was to use well …
Multi-lingual optical character recognition system using the reinforcement learning of character segmenter
In this article, we present a new multi-lingual Optical Character Recognition (OCR) system
for scanned documents. In the case of Latin characters, current open source systems such …
for scanned documents. In the case of Latin characters, current open source systems such …
Toward integrated scene text reading
The growth in digital camera usage combined with a worldly abundance of text has
translated to a rich new era for a classic problem of pattern recognition, reading. While …
translated to a rich new era for a classic problem of pattern recognition, reading. While …
Icdar2017 competition on layout analysis for challenging medieval manuscripts
This paper reports on the ICDAR2017 Competition on Layout Analysis for Challenging
Medieval Manuscripts (HisDoc-Layout-Comp) and provides further details and discussions …
Medieval Manuscripts (HisDoc-Layout-Comp) and provides further details and discussions …
Language-independent text-line extraction algorithm for handwritten documents
Text-line extraction in handwritten documents is an important step for document image
understanding, and a number of algorithms have been proposed to address this problem …
understanding, and a number of algorithms have been proposed to address this problem …
Handwritten text segmentation via end-to-end learning of convolutional neural networks
We present a method that separates handwritten and machine-printed components that are
mixed and overlapped in documents. Many conventional methods addressed this problem …
mixed and overlapped in documents. Many conventional methods addressed this problem …