Title :
A novel application of information theory to pattern recognition problems
Author :
Bouridane, A. ; Daemi, M.F. ; Ghali, A. ; Al-Khatib, K.
Author_Institution :
Recognition Eng. Group, Nottingham Univ., UK
Abstract :
This paper is concerned with the development of an algorithm for the assessment of information content of 2-D patterns encountered in practical pattern recognition problems. The technique developed is based on the fundamentals of information theory (i.e., the entropy) to assess the translational and rotational information content of patterns which can then be combined to provide for the assessment of the overall information content associated with the particular pattern. The results obtained are then used to derive a practical pattern recogniser for typed character recognition
Keywords :
entropy; information theory; pattern recognition; pattern recognition equipment; 2-D patterns; algorithm; entropy; information content; information theory; pattern recogniser; pattern recognition problems; rotational information content; translational information content; typed character recognition; Application software; Character recognition; Communication industry; Computer science; Data mining; Entropy; Information analysis; Information theory; Inspection; Pattern recognition;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344930
