DocumentCode
2591387
Title
OCR Correction via Human Computational Game
Author
Jovian, Lin Tingji ; Amprimo, Olivier
Author_Institution
Nat. Univ. of Singapore, Singapore, Singapore
fYear
2011
fDate
4-7 Jan. 2011
Firstpage
1
Lastpage
10
Abstract
We present TypeAttack, a Facebook game that improves the efficiency of digitization, which is the process of converting analog information into digital information. In this game, players compete to type out texts from images of scanned documents in the quickest time possible, with the utmost accuracy. These historical documents are thus manually digitized as a bi-product of game play. Harnessing the perceptual abilities of humans as well as their desire to be entertained, TypeAttack enhances the digitization of old documents, especially those that cannot be transcribed accurately by Optical Character Recognition (OCR) programs.
Keywords
computer games; optical character recognition; Facebook game; OCR correction; TypeAttack; analog information; digital information; historical documents; human computational game; optical character recognition; scanned documents; Accuracy; Facebook; Games; Humans; Libraries; Optical character recognition software; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2011 44th Hawaii International Conference on
Conference_Location
Kauai, HI
ISSN
1530-1605
Print_ISBN
978-1-4244-9618-1
Type
conf
DOI
10.1109/HICSS.2011.319
Filename
5718602
Link To Document