Confidence-Scoring Post-Processing for Off-Line Handwritten-Character Recognition Verification
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
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o In this paper, we describe ongoing research on a system for rapid verification of unconstrained off-line handwritten phrases using perceptual holistic features of the handwritten phrase image. The system is used to verify handwritten street names automatically extracted from live US mail against recognition results of analytical classifiers. The system rejects errors with 98% accuracy at the 30% accept level, while consuming approximately 20msec per image on the average on a 150 MHz SPARC 10.