A novel application of information theory to pattern recognition problems

A novel application of information theory to pattern recognition problems

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...

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Bibliographische Detailangaben
Hauptverfasser: Bouridane, A., Daemi, M.F., Ghali, A., Al-Khatib, K.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Application software
Character recognition
Communication industry
Computer science
Data mining
Entropy
Information analysis
Information theory
Inspection
Pattern recognition
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Beschreibung
Zusammenfassung: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.< >
DOI:10.1109/SIPNN.1994.344930