Dynamic cursive script recognition - A hybrid approach

Abstract

: Dynamic (on-line) cursive script recognition works with data obtained from a digitising device which contains temporal information regarding the order of writing. In such a system the data is processed as entered, or immediately afterwards. Direct feedback can be provided to the user. Users of interactive dynamic recognition systems can adjust their writing style so as to obtain the best recognition results. They can write more legibly. However when a word is long the writing tends to deteriorate, making the recognition task more difficult. This paper describes two approaches to recognition: a strict method, requiring recognition of all the letters in a word, and a more tolerant method which recognizes only a part of the word and postulates the ending using a lexicon. The strict recognition employs a pattern recognizer operating at the input data level and uses a lexicon to remove character strings not allowable for the language concerned. Thus ambiguity is removed by the higher leve..