Holistic Verification of Handwritten Phrases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Writer Adaptation for Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lexicon reduction using dots for off-line Farsi/Arabic handwritten word recognition
Pattern Recognition Letters
A Low Cost Incremental Biometric Fusion Strategy for a Handheld Device
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
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The performance of off-line handwritten word recognition algorithms declines with increasing lexicon size, but may be improved by serial combination of classifiers. The authors address some issues relevant to the design of serial classifier combinations. They present experimental results that show that the performance of a serial combination depends on not only the intrinsic recognition power of the classifiers but also the relative orthogonality of their features. A top-choice recognition rate of 83% is obtained for a lexicon of size 1700 by combining two analytical word classifiers that perform individually at 70%. Even higher recognition rates may be expected from a serial combination of two classifiers with less correlated features, such as a high-performance holistic classifier with an analytical classifier.