Text detection and recognition in imagery: A survey
This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …
performance of text detection and recognition research in color imagery. It summarizes the …
Text detection, tracking and recognition in video: a comprehensive survey
The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …
source of sensory data in our lives. Text is a prominent and direct source of information in …
A fast uyghur text detector for complex background images
Uyghur text localization in images with complex backgrounds is a challenging yet important
task for many applications. Generally, Uyghur characters in images consist of strokes with …
task for many applications. Generally, Uyghur characters in images consist of strokes with …
Text detection in images using sparse representation with discriminative dictionaries
Text detection is important in the retrieval of texts from digital pictures, video databases and
webpages. However, it can be very challenging since the text is often embedded in a …
webpages. However, it can be very challenging since the text is often embedded in a …
A novel approach for video text detection and recognition based on a corner response feature map and transferred deep convolutional neural network
W Lu, H Sun, J Chu, X Huang, J Yu - IEEE Access, 2018 - ieeexplore.ieee.org
The text presented in videos contains important information for content analysis, indexing,
and retrieval of videos. The key technique for extracting this information is to find, verify, and …
and retrieval of videos. The key technique for extracting this information is to find, verify, and …
AUTNT-A component level dataset for text non-text classification and benchmarking with novel script invariant feature descriptors and D-CNN
Automated scene text recognition from camera images is considered as a pioneer research
area through last few decades. Classification of foreground object components from camera …
area through last few decades. Classification of foreground object components from camera …
Text detection using edge gradient and graph spectrum
In this paper, we propose a new unsupervised text detection approach which is based on
Histogram of Oriented Gradient and Graph Spectrum. By investigating the properties of text …
Histogram of Oriented Gradient and Graph Spectrum. By investigating the properties of text …
Text non-text classification based on area occupancy of equidistant pixels
Text detection and localization from text embedded natural images is still considered as a
challenging problem in complex imagery environment. Foreground object segmentation …
challenging problem in complex imagery environment. Foreground object segmentation …
Video text detection based on filters and edge features
Text detection plays a vital role in retrieving and browsing video data efficiently and
accurately. In this paper, we propose a method for detecting both graphics and scene text in …
accurately. In this paper, we propose a method for detecting both graphics and scene text in …
Chinese text location under complex background using Gabor filter and SVM
For the Chinese text location under complex background, this paper presents a novel
method by combining Gabor filter and support vector machine (SVM). It bases on such a fact …
method by combining Gabor filter and support vector machine (SVM). It bases on such a fact …