IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating Degradation Model Parameters from Character Images
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Character Recognition in Bookshelf Images by Automatic Template Selection
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Low resolution character recognition by dual eigenspace and synthetic degraded patterns
Proceedings of the 1st ACM workshop on Hardcopy document processing
Blurred character recognition by complementing features of blurred regions
Systems and Computers in Japan
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As the spread of digital videos, digital cameras, and camera phones, lots of researches are reported about degraded character recognition. It is found that while the grayscale-based classifier is powerful for degraded character, the performance for clear character is not so good as binary-based classifier. In this paper, a dynamic classifier selection method is proposed to combine the two classifiers based on an estimation of the degradation level and the recognition reliability of the input character images. Experimental results show that the proposed method can achieve better recognition performance than the two individual ones.