Information theory and pattern recognition
This thesis presents an account of an investigation into the use of information theory measures in pattern recognition problems. The objectives were firstly to determine the information content of the set of representations of an input image which are found at the output of an array of sensors; seco...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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1990
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| Online Access: | https://eprints.nottingham.ac.uk/14003/ |
| _version_ | 1848791858394693632 |
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| author | Daemi, M.F. |
| author_facet | Daemi, M.F. |
| author_sort | Daemi, M.F. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This thesis presents an account of an investigation into the use of information theory measures in pattern recognition problems. The objectives were firstly to determine the information content of the set of representations of an input image which are found at the output of an array of sensors; secondly to assess the information which may be used to allocate different patterns to appropriate classes in order to provide a means of recognition; and thirdly to assess the recognition capability of pattern recognition systems and their efficiency of utilization of information. Information assessment techniques were developed using fundamental principles of information theory. These techniques were used to assess the information associated with attributes such as orientation and location, of a variety of input images. The techniques were extended to permit the assessment of recognition capability and to provide a measure of the efficiency with which pattern recognition systems use the information available. |
| first_indexed | 2025-11-14T18:35:11Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-14003 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:35:11Z |
| publishDate | 1990 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-140032025-02-28T11:28:21Z https://eprints.nottingham.ac.uk/14003/ Information theory and pattern recognition Daemi, M.F. This thesis presents an account of an investigation into the use of information theory measures in pattern recognition problems. The objectives were firstly to determine the information content of the set of representations of an input image which are found at the output of an array of sensors; secondly to assess the information which may be used to allocate different patterns to appropriate classes in order to provide a means of recognition; and thirdly to assess the recognition capability of pattern recognition systems and their efficiency of utilization of information. Information assessment techniques were developed using fundamental principles of information theory. These techniques were used to assess the information associated with attributes such as orientation and location, of a variety of input images. The techniques were extended to permit the assessment of recognition capability and to provide a measure of the efficiency with which pattern recognition systems use the information available. 1990 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/14003/1/254404.pdf Daemi, M.F. (1990) Information theory and pattern recognition. PhD thesis, University of Nottingham. Pattern recognition systems Pattern perception Image processing |
| spellingShingle | Pattern recognition systems Pattern perception Image processing Daemi, M.F. Information theory and pattern recognition |
| title | Information theory and pattern recognition |
| title_full | Information theory and pattern recognition |
| title_fullStr | Information theory and pattern recognition |
| title_full_unstemmed | Information theory and pattern recognition |
| title_short | Information theory and pattern recognition |
| title_sort | information theory and pattern recognition |
| topic | Pattern recognition systems Pattern perception Image processing |
| url | https://eprints.nottingham.ac.uk/14003/ |