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 ]]


IEEE GHN Category [[Category:Computers and information processing]]
Methods of using computers to recognize patterns such as character recognition, data mining and text recognition
 
== Subcategories ==
 
*'''[[:Category:Character recognition|Character recognition]]''' - or optical character recognition or OCR, the electronic translation of scanned images of text into machine-encoded text
*'''[[:Category:Clustering methods|Clustering methods]]''' - methods that involve assign objects to different groups that each represent similar properties to facilitate analysis 
*'''[[:Category:Data mining|Data mining]]''' - the use of artificial intelligence to discover new patterns in large datasets
*'''[[:Category:Face recognition|Face recognition]]''' - the use of electronics to decipher individual faces through digital images
*'''[[:Category:Fingerprint recognition|Fingerprint recognition]]''' - the identification and matching of different fingerprints to different individuals
*'''[[:Category:Handwriting recognition|Handwriting recognition]]''' - the use of electronics to identify a handwriting style with a particular writer
*'''[[:Category:Pattern matching|Pattern matching]]''' - the use of electronics to decipher patterns in data
*'''[[:Category:Speech recognition|Speech recognition]]''' - the use of electronics to identify and translate the sounds of the spoken word into machine-encoded text
*'''[[:Category:Text recognition|Text recognition]]''' - another type of character recognition focusing on the identification of printed texts
 
[[Category:Computers_and_information_processing|{{PAGENAME}}]]

Revision as of 18:29, 6 February 2013

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

  • 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