Presentation	2014-02-18 Dimensionality Reduction of Characteristic Feature for Paper Finger Print Ryuji MINE,
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Abstract(in English)	While digital printing technology improves, the number of elaborately counterfeited bill increases. Paper is comprised of pulp fiber combined complicatedly and each paper has its own pattern of pulp fibers. Though the conventional method which uses image pattern of pulp fiber (paper finger print) as characteristic feature to identify paper, is simple and easy method, it needs large size of the feature in order to identify papers accurately. We have conducted paper identification experiments and evaluated several image compression algorithms used in image coding technology. As a result, we found that we can reduce the size of the original image into quarter using image quantization and double coding algorithm.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Paper Finger Print / Paper Identification / Image Processing / Data Compression
Paper #	ITS2013-60,IE2013-125
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Conference Information
Committee	IE
Conference Date	2014/2/10(1days)
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Paper Information
Registration To	Image Engineering (IE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Dimensionality Reduction of Characteristic Feature for Paper Finger Print
Sub Title (in English)
Keyword(1)	Paper Finger Print
Keyword(2)	Paper Identification
Keyword(3)	Image Processing
Keyword(4)	Data Compression
1st Author's Name	Ryuji MINE
1st Author's Affiliation	Central Research Laboratory, Hitachi, Ltd.()
Date	2014-02-18
Paper #	ITS2013-60,IE2013-125
Volume (vol)	vol.113
Number (no)	434
Page	pp.pp.-
#Pages	6
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