DocumentCode :
2172520
Title :
Contour-based image preprocessing for holistic handwritten word recognition
Author :
Madhvanath, S. ; Govindaraju, V.
Author_Institution :
Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA
Volume :
2
fYear :
1997
fDate :
18-20 Aug 1997
Firstpage :
536
Abstract :
The one-dimensional nature of contour representations presents interesting challenges for processing of images for handwritten word recognition. In this paper, we discuss the issues of determination of upper and lower contours of the word, determination of significant focal extrema on the contour, and determination of reference lines from contour representations of handwritten words
Keywords :
handwriting recognition; image representation; optical character recognition; chain code; contour representations; contour-based image preprocessing; focal extrema; holistic handwritten word recognition; lower contours; reference lines; upper contours; Clocks; Computer science; Focusing; Handwriting recognition; Image analysis; Image recognition; Image segmentation; Image storage; Text analysis; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
Type :
conf
DOI :
10.1109/ICDAR.1997.620557
Filename :
620557
Link To Document :
بازگشت