Text detection
View article
TextBoxes++: A Single-Shot Oriented Scene Text Detector Open
Scene text detection is an important step of scene text recognition system and also a challenging problem. Different from general object detection, the main challenges of scene text detection lie on arbitrary orientations, small sizes, and…
View article
TextBoxes: A Fast Text Detector with a Single Deep Neural Network Open
This paper presents an end-to-end trainable fast scene text detector, named TextBoxes, which detects scene text with both high accuracy and efficiency in a single network forward pass, involving no post-process except for a standard non-ma…
View article
PixelLink: Detecting Scene Text via Instance Segmentation Open
Most state-of-the-art scene text detection algorithms are deep learning based methods that depend on bounding box regression and perform at least two kinds of predictions: text/non-text classification and location regression. Regression pl…
View article
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection Open
In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images. The framework is based on Faster R-CNN [1] architecture. First, we use the Region Proposal Networ…
View article
ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT Open
International audience
View article
TextBoxes: A Fast Text Detector with a Single Deep Neural Network Open
This paper presents an end-to-end trainable fast scene text detector, named TextBoxes, which detects scene text with both high accuracy and efficiency in a single network forward pass, involving no post-process except for a standard non-ma…
View article
TextField: Learning a Deep Direction Field for Irregular Scene Text Detection Open
Scene text detection is an important step in the scene text reading system. The main challenges lie in significantly varied sizes and aspect ratios, arbitrary orientations, and shapes. Driven by the recent progress in deep learning, impres…
View article
Text-Attentional Convolutional Neural Network for Scene Text Detection Open
Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature globally computed from a whole image component (patch), where the cluttered…
View article
Curved scene text detection via transverse and longitudinal sequence connection Open
Curved text detection is a difficult problem that has not been addressed sufficiently. To highlight the difficulties in reading curved text in a real environment, we constructed a curved text dataset called CTW1500, which includes over 10,…
View article
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in\n Natural Images Open
This paper describes the COCO-Text dataset. In recent years large-scale\ndatasets like SUN and Imagenet drove the advancement of scene understanding and\nobject recognition. The goal of COCO-Text is to advance state-of-the-art in\ntext det…
View article
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images Open
This paper describes the COCO-Text dataset. In recent years large-scale datasets like SUN and Imagenet drove the advancement of scene understanding and object recognition. The goal of COCO-Text is to advance state-of-the-art in text detect…
View article
Scene Text Detection via Holistic, Multi-Channel Prediction Open
Recently, scene text detection has become an active research topic in computer vision and document analysis, because of its great importance and significant challenge. However, vast majority of the existing methods detect text within local…
View article
Synthetic Data for Text Localisation in Natural Images Open
In this paper we introduce a new method for text detection in natural images. The method comprises two contributions: First, a fast and scalable engine to generate synthetic images of text in clutter. This engine overlays synthetic text to…
View article
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting Open
Recently, end-to-end text spotting that aims to detect and recognize text from cluttered images simultaneously has received particularly growing interest in computer vision. Different from the existing approaches that formulate text detect…
View article
Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition Open
Text in curve orientation, despite being one of the common text orientations in real world environment, has close to zero existence in well received scene text datasets such as ICDAR2013 and MSRA-TD500. The main motivation of Total-Text is…
View article
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection Open
Incidental scene text detection, especially for multi-oriented text regions, is one of the most challenging tasks in many computer vision applications.Different from the common object detection task, scene text often suffers from a large v…
View article
Words Matter: Scene Text for Image Classification and Retrieval Open
Text in natural images typically adds meaning to an object or scene. In particular, text specifies which business places serve drinks (e.g., cafe, teahouse) or food (e.g., restaurant, pizzeria), and what kind of service is provided (e.g., …
View article
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting Open
Many approaches have recently been proposed to detect irregular scene text and achieved promising results. However, their localization results may not well satisfy the following text recognition part mainly because of two reasons: 1) recog…
View article
Multi-Oriented Text Detection with Fully Convolutional Networks Open
In this paper, we propose a novel approach for text detec- tion in natural images. Both local and global cues are taken into account for localizing text lines in a coarse-to-fine pro- cedure. First, a Fully Convolutional Network (FCN) mode…
View article
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network Open
We introduce a new top-down pipeline for scene text detection. We propose a novel Cascaded Convolutional Text Network (CCTN) that joints two customized convolutional networks for coarse-to-fine text localization. The CCTN fast detects text…
View article
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter Open
Recently end-to-end scene text spotting has become a popular research topic due to its advantages of global optimization and high maintainability in real applications. Most methods attempt to develop various region of interest (RoI) operat…
View article
Urdu-Text Detection and Recognition in Natural Scene Images Using Deep Learning Open
Urdu text is a cursive script and belongs to a non-Latin family of other cursive scripts like Arabic, Chinese, and Hindi. Urdu text poses a challenge for detection/localization from natural scene images, and consequently recognition of ind…
View article
PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System Open
Optical character recognition (OCR) technology has been widely used in various scenes, as shown in Figure 1. Designing a practical OCR system is still a meaningful but challenging task. In previous work, considering the efficiency and accu…
View article
Shape Robust Text Detection with Progressive Scale Expansion Network Open
Scene text detection has witnessed rapid progress especially with the recent development of convolutional neural networks. However, there still exists two challenges which prevent the algorithm into industry applications. On the one hand, …
View article
Single Shot Text Detector with Regional Attention Open
We present a novel single-shot text detector that directly outputs word-level bounding boxes in a natural image. We propose an attention mechanism which roughly identifies text regions via an automatically learned attentional map. This sub…
View article
Dense and Tight Detection of Chinese Characters in Historical Documents: Datasets and a Recognition Guided Detector Open
Characters in historical documents are typically densely distributed and are difficult to localize and segment by directly applying classic proposal and regression based methods. In this paper, we propose a novel method called recognition …
View article
A Convolutional Neural Network-Based Chinese Text Detection Algorithm via Text Structure Modeling Open
Text detection in a natural environment plays an important role in many computer vision applications. While existing text detection methods are focused on English characters, there are strong application demands on text detection in other …
View article
Deep Direct Regression for Multi-Oriented Scene Text Detection Open
In this paper, we first provide a new perspective to divide existing high performance object detection methods into direct and indirect regressions. Direct regression performs boundary regression by predicting the offsets from a given poin…
View article
Text Detection and Recognition for Images of Medical Laboratory Reports With a Deep Learning Approach Open
The adoption of electronic health records (EHRs) is an important step in the development of modern medicine. However, complete health records are not often available during treatment because of the functional problem of the EHR system or i…
View article
PixelLink: Detecting Scene Text via Instance Segmentation Open
Most state-of-the-art scene text detection algorithms are deep learning based methods that depend on bounding box regression and perform at least two kinds of predictions: text/non-text classification and location regression. Regression pl…