Abstract
Artificial systems for solving difficult problems of pattern recognition are still very inefficient compared to the human visual system — at least if we regard the error rate. On the other hand characters are formed in such a manner that they can be easily distinguished by the human visual system which defines their meaning. It is not necessary that an artificial recognition system is constructed in the same way as neuronal systems; but if it is based on the same principles of perception — as far as they are known — it might have a better chance of performing the same recognition operation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Marko, H.: Die Anwendung nachrichtentheoretischer Methoden in der Biologie. EIK 5 (2), 73–90 (1969). Vortrag auf dem III. Kybernetik-Kongreß der DGK in München 1968.
Marko, H Die Systemtheorie der homogenen Schichten. Kybernetik 5, 221–240 (1969).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1971 Springer-Verlag Berlin · Heidelberg
About this paper
Cite this paper
Giebel, H. (1971). Feature Extraction and Recognition of Handwritten Characters by Homogeneous Layers. In: Grüsser, OJ., Klinke, R. (eds) Zeichenerkennung durch biologische und technische Systeme / Pattern Recognition in Biological and Technical Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-65175-5_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-65175-5_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-65176-2
Online ISBN: 978-3-642-65175-5
eBook Packages: Springer Book Archive