Automated Evaluation of OCR Zoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
The String-to-String Correction Problem
Journal of the ACM (JACM)
TextFinder: An Automatic System to Detect and Recognize Text In Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Performance Evaluation of Object Detection Algorithms
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Tools and Techniques for Video Performance Evaluation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Extraction and recognition of artificial text in multimedia documents
Pattern Analysis & Applications
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
An automatic performance evaluation protocol for video text detection algorithms
IEEE Transactions on Circuits and Systems for Video Technology
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Texts embedded in video streams convey crucial information for documentation. Many text detection and recognition systems have been designed to automatically extract such documentary data from video streams. Most of the research teams involved argue that commercial OCR do not work properly on images extracted from a video stream. They thus concieve their own detection systems. Nevertheless, commercial OCR have never been evaluated on such corpora. This article details a new methodology to evaluate a commercial OCR on a video document. This methodology is goal directed: the system is penalized proportionally to TFIDF (Term Frequency Inverse Document Frequency) scores of texts [1]. We experiment our methodology on Abbyy FineReader 6.0.