Category:Pattern recognition: Difference between revisions

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

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

This category has the following 4 subcategories, out of 4 total.

The following 22 pages are in this category, out of 22 total.

This category contains only the following file.

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