A Biological Approach to Pattern Recognition
This paper describes a layer structured system suitable for pattern recognition which operates similar to the afferent nervous system of vertebrates. The ``system theory of homogeneous layers'' has been developed to describe signal transmission and signal processing between neuronal layers...
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| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics man, and cybernetics, 1974-01, Vol.SMC-4 (1), p.34-39 |
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| container_end_page | 39 |
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| container_issue | 1 |
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| container_title | IEEE transactions on systems, man, and cybernetics |
| container_volume | SMC-4 |
| creator | Marko, Hans |
| description | This paper describes a layer structured system suitable for pattern recognition which operates similar to the afferent nervous system of vertebrates. The ``system theory of homogeneous layers'' has been developed to describe signal transmission and signal processing between neuronal layers. Feature extraction in the sense of spatial filtering is performed by such a layered system with a few hierarchical stages. The last stage contains adaptive coupling which is adjusted by a learning process. The system has been simulated with a computer and parts of it with a coherent light arrangement. Its performance im recognizing handprinted characters (alphanumerics) is highly satisfactory and corresponds approximately to the human capability for this task. |
| doi_str_mv | 10.1109/TSMC.1974.5408518 |
| format | Article |
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The ``system theory of homogeneous layers'' has been developed to describe signal transmission and signal processing between neuronal layers. Feature extraction in the sense of spatial filtering is performed by such a layered system with a few hierarchical stages. The last stage contains adaptive coupling which is adjusted by a learning process. The system has been simulated with a computer and parts of it with a coherent light arrangement. Its performance im recognizing handprinted characters (alphanumerics) is highly satisfactory and corresponds approximately to the human capability for this task.</description><subject>Adaptive signal processing</subject><subject>Biomedical signal processing</subject><subject>Computational modeling</subject><subject>Computer simulation</subject><subject>Couplings</subject><subject>Feature extraction</subject><subject>Filtering</subject><subject>Nervous system</subject><subject>Pattern recognition</subject><subject>Signal processing</subject><issn>0018-9472</issn><issn>2168-2909</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1974</creationdate><recordtype>article</recordtype><recordid>eNo9j8tKxDAYhYMoWEcfQNz0AWzN31z6Z1kHbzCi6LgOaZqOkdqUtBvf3pYZXR0O5wIfIZdAcwCqbrbvz-scVMlzwSkKwCOSFCAxKxRVxyShFDBTvCxOydk4fs2WcyUScl2ltz50Yeet6dJqGGIw9jOdQvpqpsnFPn1zNux6P_nQn5OT1nSjuzjoinzc323Xj9nm5eFpXW0yW0g2ZSgbgRJroAZt06qSKoe2bIUUNbBaGGUZMjCqQeMKbEpmBJcGSpCKzgW2IrD_tTGMY3StHqL_NvFHA9ULrl5w9YKrD7jz5mq_8c65__5f-gsEk0-x</recordid><startdate>197401</startdate><enddate>197401</enddate><creator>Marko, Hans</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>197401</creationdate><title>A Biological Approach to Pattern Recognition</title><author>Marko, Hans</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c263t-86d5868b10a8cdf9709e8c7f565b13b5a9c3831a9d8ae28d73a546a17169013b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1974</creationdate><topic>Adaptive signal processing</topic><topic>Biomedical signal processing</topic><topic>Computational modeling</topic><topic>Computer simulation</topic><topic>Couplings</topic><topic>Feature extraction</topic><topic>Filtering</topic><topic>Nervous system</topic><topic>Pattern recognition</topic><topic>Signal processing</topic><toplevel>online_resources</toplevel><creatorcontrib>Marko, Hans</creatorcontrib><collection>CrossRef</collection><jtitle>IEEE transactions on systems, man, and cybernetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Marko, Hans</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Biological Approach to Pattern Recognition</atitle><jtitle>IEEE transactions on systems, man, and cybernetics</jtitle><stitle>T-SMC</stitle><date>1974-01</date><risdate>1974</risdate><volume>SMC-4</volume><issue>1</issue><spage>34</spage><epage>39</epage><pages>34-39</pages><issn>0018-9472</issn><eissn>2168-2909</eissn><coden>ISYMAW</coden><abstract>This paper describes a layer structured system suitable for pattern recognition which operates similar to the afferent nervous system of vertebrates. The ``system theory of homogeneous layers'' has been developed to describe signal transmission and signal processing between neuronal layers. Feature extraction in the sense of spatial filtering is performed by such a layered system with a few hierarchical stages. The last stage contains adaptive coupling which is adjusted by a learning process. The system has been simulated with a computer and parts of it with a coherent light arrangement. Its performance im recognizing handprinted characters (alphanumerics) is highly satisfactory and corresponds approximately to the human capability for this task.</abstract><pub>IEEE</pub><doi>10.1109/TSMC.1974.5408518</doi><tpages>6</tpages></addata></record> |
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| identifier | ISSN: 0018-9472 |
| ispartof | IEEE transactions on systems, man, and cybernetics, 1974-01, Vol.SMC-4 (1), p.34-39 |
| issn | 0018-9472 2168-2909 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive signal processing Biomedical signal processing Computational modeling Computer simulation Couplings Feature extraction Filtering Nervous system Pattern recognition Signal processing |
| title | A Biological Approach to Pattern Recognition |
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