An introduction to digital image processing
An introduction to digital image processing
TextFinder: An Automatic System to Detect and Recognize Text In Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Caption Localization in Compressed Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
A guided tour to approximate string matching
ACM Computing Surveys (CSUR)
Locating and Recognizing Text in WWW Images
Information Retrieval
Spatial and Feature Space Clustering: Applications in Image Analysis
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
Usage derived recommendations for a video digital library
Journal of Network and Computer Applications
Text extraction from images captured via mobile and digital devices
International Journal of Computational Vision and Robotics
Live television in a digital library
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
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Images play a very important role in web content delivery. Many WWW images contain text information that can be used for web indexing and searching. A new text extraction and recognition algorithm is proposed in this paper. The character strokes in the image are first extracted by color clustering and connected component analysis. A novel stroke verification algorithm is used to effectively remove non-character strokes. The verified strokes are then used to build the binary text line image, which is segmented and recognized by dynamic programming. Since text in WWW image usually has close relationship with webpage content, approximate string matching is used to revise the recognition result by matching the content in the webpage with the content in the image. This effective post-processing not only improves the recognition performance, but also can be used in other applications such like image - webpage paragraph corresponding.