Recognizing address blocks on mail pieces
AI Magazine
A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text segmentation using Gabor filters for automatic document processing
Machine Vision and Applications - Special issue: document image analysis techniques
A Generic System for Form Dropout
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Representation and Its Application to Page Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text Extraction, Enhancement and OCR in Digital Video
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Shock Filters for Character Image Enhancement and Peeling
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A Robust Algorithm for Text Detection in Color Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
WebInSight:: making web images accessible
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
Text detection, localization, and tracking in compressed video
Image Communication
Automatic Collection of Fuel Prices from a Network of Mobile Cameras
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
An efficient method for text detection in video based on stroke width similarity
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Automatic detection and recognition of Korean text in outdoor signboard images
Pattern Recognition Letters
A method for text localization and recognition in real-world images
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
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Automatic text location (without character recognition capabilities) deals with extracting image regions that just contain text. The images of these regions can then be fed to an optical character recognition module or highlighted for users. This is very useful in a number of applications such as database indexing and converting paper documents to their electronic versions. The performance of our automatic text location algorithm is shown in several applications. Compared with some traditional text location methods, our method has the following advantages: (i) low computational cost; (ii) robust to font size; and (iii) high accuracy.