Lexicon-Driven Handwritten Word Recognition Using Optimal Linear Combinations of Order Statistics

Authors:
Wen-Tsong Chen;Paul Gader;Hongchi Shi
Affiliations:
Univ. of Missouri-Columbia, Columbia;Univ. of Missouri-Columbia, Columbia;Univ. of Missouri-Columbia, Columbia
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1999

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Abstract

In the standard segmentation-based approach to handwritten word recognition, individual character-class confidence scores are combined via averaging to estimate confidences in the hypothesized identities for a word. We describe a methodology for generating optimal Linear Combination of Order Statistics operators for combining character class confidence scores. Experimental results are provided on over 1,000 word images.