Paper Info
Title
Integration of a structural features-based preclassifier and a man-machine interactive classifier for a fast multi-stroke character recognition
Abstract
A transputer-based parallel machine for handwritten character recognition is proposed. An algorithm based on structural features and on a tree classifier was used to accomplish the pre-classification of the unknown sample in order to speed up the recognition process. The algorithm for the final classification is based on the description of the strokes through Fourier descriptors. The learning phase is accomplished through a man-machine interactive process. The proposed system can expand its knowledge base. A special representation of this knowledge base is proposed in order to record a great amount of data in a suitable way. A fast multistroke handwritten isolated character recognition system is presented. The test of this system was performed on a PC based prototype while the realization of a parallel transputer based working machine is in progress. Experimental results obtained applying these machines to handwritten numerals recognition are reported
Year
DOI
Venue
1992
10.1109/ICPR.1992.202164
The Hague
Keywords
DocType
Citations 
character recognition,image recognition,learning systems,parallel processing,fourier descriptors,pc based prototype,fast multi-stroke character recognition,handwritten character recognition,handwritten numerals recognition,interactive classifier,isolated character recognition,knowledge base,learning phase,man-machine interactive process,parallel transputer based,pattern recognition,pre-classification,structural features-based preclassifier,tree classifier
Conference
2
PageRank 
References 
Authors
0.41
2
5
Name
Order
Citations
PageRank
Giovanni Dimauro119024.09
Gaetano Gerardi2112.17
S. Impedovo336931.83
G. Pirlo455239.16
Domenico Tegolo513218.57