Abstract
Wide acceptance of inexpensive writing tablets with high fractionality motivates the development of individualized, adaptive online recognition of cursive script. We demonstrate a lexical algorithm based on bigram matches. The solution we propose is to: 1) generate a match list by partial-word matching against a reference list in the owner's script; and 2) identify each unknown word by eliminating, from a large lexicon, every word that partially matches the transcript of any word on the reference list that is not on the match list, or that fails to match any word on the match list. With perfect feature-level matching, a surprisingly short reference list yields a high recognition rate.