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Category:Pattern recognition

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Methods of using computers to recognize patterns such as character recognition, data mining and text recognition
 
Methods of using computers to recognize patterns such as character recognition, data mining and text recognition
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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 ]]
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== Subcategories ==
 
== Subcategories ==

Revision as of 00:18, 2 February 2012

Methods of using computers to recognize patterns such as character recognition, data mining and text recognition

A 1900 photo of A U.S. Census Bureau employee working on A Hollireth Tabulator
A 1900 photo of A U.S. Census Bureau employee working on A Hollireth Tabulator


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.

C

H

S

T

Media in category "Pattern recognition"

This category contains only the following file.