An introduction to digital image processing
An introduction to digital image processing
A Spatial Thresholding Method for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic text recognition for video indexing
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Automatic Identification of Text in Digital Video Key Frames
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Automatic Text Extraction from Video for Content-Based Annotation and Retrieval
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Detection of text captions in compressed domain video
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Locating and Recognizing Text in WWW Images
Information Retrieval
Progress in Camera-Based Document Image Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Video text recognition using sequential Monte Carlo and error voting methods
Pattern Recognition Letters
Mosaicing-by-recognition: a technique for video-based text recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An embedded application for degraded text recognition
EURASIP Journal on Applied Signal Processing
Text detection, localization, and tracking in compressed video
Image Communication
Mosaicing-by-recognition for video-based text recognition
Pattern Recognition
Fast Image Mosaicing Based on Histograms
IEICE - Transactions on Information and Systems
Fast and robust text detection in images and video frames
Image and Vision Computing
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
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In this paper a multiple frame based technique to enhance text in digital video is presented. After extracting a reference text block, we use an image matching technique to find the corresponding text blocks in consecutive frames. We register these text blocks to subpixel levels by using image interpolation techniques to improve both correspondence and text resolution. The registered text blocks are averaged to obtain a new text block with a clean background and a higher resolution. Experiments conducted on several video sequences show that our enhancement scheme can improve the accuracy of commercial off-the-shelf OCR considerably.