Category:Pattern recognition: Difference between revisions
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[[Image:Pattern Recognition U.S. Census Bureau Tabulator.jpg|thumb|right|A 1900 photo of A U.S. Census Bureau employee working on A Hollireth Tabulator ]] | [[Image:Pattern Recognition U.S. Census Bureau Tabulator.jpg|thumb|right|A 1900 photo of A U.S. Census Bureau employee working on A Hollireth Tabulator ]] | ||
Methods of using computers to recognize patterns such as character recognition, data mining and text recognition | |||
== Subcategories == | == Subcategories == |
Revision as of 18:29, 6 February 2013
Methods of using computers to recognize patterns such as character recognition, data mining and text recognition
Subcategories
- Character recognition - or optical character recognition or OCR, the electronic translation of scanned images of text into machine-encoded text
- Clustering methods - methods that involve assign objects to different groups that each represent similar properties to facilitate analysis
- Data mining - the use of artificial intelligence to discover new patterns in large datasets
- Face recognition - the use of electronics to decipher individual faces through digital images
- Fingerprint recognition - the identification and matching of different fingerprints to different individuals
- Handwriting recognition - the use of electronics to identify a handwriting style with a particular writer
- Pattern matching - the use of electronics to decipher patterns in data
- Speech recognition - the use of electronics to identify and translate the sounds of the spoken word into machine-encoded text
- Text recognition - another type of character recognition focusing on the identification of printed texts
Subcategories
This category has the following 4 subcategories, out of 4 total.
Pages in category "Pattern recognition"
The following 22 pages are in this category, out of 22 total.
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Media in category "Pattern recognition"
This category contains only the following file.
- Pattern Recognition U.S. Census Bureau Tabulator.jpg 640 × 455; 29 KB