DocumentCode
1553232
Title
Chaincode contour processing for handwritten word recognition
Author
Madhvanath, S. ; Kim, G. ; Govindaraju, V.
Author_Institution
IBM Almaden Res. Center, San Jose, CA, USA
Volume
21
Issue
9
fYear
1999
fDate
9/1/1999 12:00:00 AM
Firstpage
928
Lastpage
932
Abstract
Contour representations of binary images of handwritten words afford considerable reduction in storage requirements while providing lossless representation. On the other hand, the one-dimensional nature of contours presents interesting challenges for processing images for handwritten word recognition. Our experiments indicate that significant gains are to be realized in both speed and recognition accuracy by using a contour representation in handwriting applications
Keywords
feature extraction; handwritten character recognition; image segmentation; binary images; chaincode contour processing; contour representations; handwritten word recognition; lossless representation; recognition accuracy; recognition speed; storage requirements; Computer Society; Feature extraction; Filters; Handwriting recognition; Image recognition; Image segmentation; Image storage; Noise shaping; Pixel; Smoothing methods;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.790433
Filename
790433
Link To Document