Numeral characters and capital letters segmentation recognition in mixed handwriting context

Abstract

For the analytic on-line recognition of handwriting, the range of pattern recognition problems can be described by the severity of letter segmentation required. More difficult problems require an interaction of letter segmentation and recognition. These problems include overlapping discretely written characters, pure cursive writing, and mixed cursive and discrete writing. To these problems concerning the letter segmentation, the word segmentation problems is added. Since a script can contain numbers, capital letters as well as lowercase letters, it is necessary to have a system able to recognize them. This paper describes an on-line system for identifying and recognizing numeral characters and capital letters in handwriting sentences. This system provides two segmentation modules: the first one is to isolate the word drawings within a sentence, and the other one is to separate numeral characters and capital letters from a mixed writing prior to their recognition.