Image analysis – Pattern recognition – Unconstrained handwriting
Reexamination Certificate
2005-07-12
2005-07-12
Chang, Jon (Department: 2623)
Image analysis
Pattern recognition
Unconstrained handwriting
C382S229000
Reexamination Certificate
active
06917708
ABSTRACT:
A method of automatically recognizing text. The text is divided into whole words which are each recognize. Each whole word is characterized according to its silhouette. The silhouette is characterized by features in the silhouette such as upwardly extending “polls” and downwardly extending “holes”. The silhouette may also be characterized by its first syllable blends. Numbers are assigned to each of the different characteristics, and numbers may also be assigned based on analysis of a database of different kinds of cursive words. Recognition may be automatically carry out prior recognizing system which recognizes in this way.
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Bozinovic et al. “Off-Line Cursive Script Word Recognition.” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 11, No. 1, Jan. 1989, pp. 68-83.
Chen Joseph
Goodman Rodney M.
Keaton Patricia A.
Woods Donal J.
California Institute of Technology
Chang Jon
Fish & Richardson P.C.
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