DocumentCode :
3021170
Title :
SIFT method for paper detection system
Author :
Zhu, Juan ; Wang, Shuai ; Meng, Fanying
Author_Institution :
Guanghua Coll., Univ. Changchun, Changchun, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
711
Lastpage :
714
Abstract :
Traditional detect method could not deal well with the problem of paper zooming. This paper introduces scale invariant feature transform to the paper detection system. The hardware of paper detection system consists of digital signal processor and complex programmable logic device. The hardware can accomplish image acquisition and processing. The software of this system use SIFT method to detect the papers. Compared to the traditional method, this algorithm deals better with detection process.
Keywords :
image processing; object detection; paper; transforms; SIFT method; complex programmable logic device; detection process; digital signal processor; image acquisition; image processing; paper detection system; paper zooming; scale invariant feature transform; traditional detect method; Cameras; Computer vision; Digital signal processing; Feature extraction; Hardware; Robustness; Signal processing algorithms; Paper detection; Pattern recognition; SIFT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6001649
Filename :
6001649
Link To Document :
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