DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Online Recognition of Chinese Characters: The State-of-the-Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Integration of Online and Pseudo-Online Information for Cursive Word Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Online Chinese Character Recognition System with Handwritten Pinyin Input
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Recent results of online Japanese handwriting recognition and its applications
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Virtual example synthesis based on PCA for off-line handwritten character recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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We propose a new technique for normalizing likelihood of multiple classifiers prior to their combination. Our technique takes classifier-specific likelihood characteristics into account and maps them to a common, ideal characteristic allowing fair combination under arbitrary combination schemes. For each classifier, a simple warping process aligns the likelihood with the accumulated recognition rate, so that recognition rate becomes a uniformly increasing function of likelihood. For combining normalized likelihood values, we investigate several elementary combination rules, such as sum-rule or max-rule. We achieved a significant performance gain of more than five percent, compared to the best single recognition rate,showing both the effectiveness of our method for classifier combination and the benefit of combining on-line Japanese character recognition with stroke order and stroke number independent off-line recognition. Moreover, our experiments provide additional empirical evidence for the good performance of the sum rule in comparison with other elementary combination rules, as has already been observed by other research groups.