16th International Conference on Pattern Recognition (ICPR'02) - Volume 3 Performance Prediction for Handwritten Word Recognizers and Its Application to Classifier Combination Quebec City, QC, Canada August 11-August 15 ISBN: 0-7695-1695-X
This paper introduces a performance prediction model for handwritten word recognizers . This model considers the factors involved in word recognition, i.e . the recognizer, input images and lexicons, and presents a quantitative formula to associate performance with these factors. It produces a direct measure of recognition difficulty by predicted performance whic h can be utilized to improve the combiation of multiple recognizers. We support the accuracy of our model by extensive experiments conducted on five word recognizers and its applications to multiple classifier systems.
Citation:
Hanhong Xue, Venu Goindaraju, "Performance Prediction for Handwritten Word Recognizers and Its Application to Classifier Combination," icpr, vol. 3, pp.30241, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||