Title :
Recognition of connected numeral strings using partial boundary features
Author_Institution :
Dept. of Comput. Sci. & Eng., Tianjin Univ., China
fDate :
30 Aug-3 Sep 1992
Abstract :
Connected or touching numerals appear very often in handwritten documents when they are to be processed by a recognition system. They could be the results of writing habit, limited resolution of the graphic input device, or some preprocessing of the image. In this paper the author describes an approach to identifying connected numerals without a priori knowledge of the number of the numerals in the string. The left boundary of the numeral cage is used for the classification. Special methods are developed for determining the left boundary and extracting the features on it
Keywords :
character recognition; document image processing; feature extraction; connected numeral strings; feature extraction; handwritten documents; left boundary; partial boundary features; preprocessing; recognition system; touching numerals; Computer graphics; Computer science; Data preprocessing; Facsimile; Feature extraction; Handwriting recognition; Humans; Image resolution; Vocabulary; Writing;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201867