Automatic business card scanning with a camera

Gang Hua; Zicheng Liu; Zhengyou Zhang; Ying Wu

doi:10.1109/ICIP.2006.312471

Automatic business card scanning with a camera

Gang Hua^*, Zicheng Liu, Zhengyou Zhang, Ying Wu

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Scopus citations

Abstract

In this paper, we present a system to automatically extract, rectify and enhance business card images. First the business card image patch is automatically segmented by minimizing a novel local-global variational energy. Second a quadrangle is fitted to the segmented image patch. With the four corner points of the quadrangle, we then estimate the physical aspect ratio of the business card and obtain a homography to rectify the quadrangle back to rectangular shape. We finally enhance the contrast of the rectified business card image using a S-shaped curve. Extensive experiments demonstrated the efficacy and robustness of our system.

Original language	English (US)
Title of host publication	2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages	373-376
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2006.312471
State	Published - 2006
Event	2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States Duration: Oct 8 2006 → Oct 11 2006

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2006 IEEE International Conference on Image Processing, ICIP 2006
Country/Territory	United States
City	Atlanta, GA
Period	10/8/06 → 10/11/06

Keywords

Image enhancement
Image region analysis
Multimedia computing

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2006.312471

Cite this

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title = "Automatic business card scanning with a camera",

abstract = "In this paper, we present a system to automatically extract, rectify and enhance business card images. First the business card image patch is automatically segmented by minimizing a novel local-global variational energy. Second a quadrangle is fitted to the segmented image patch. With the four corner points of the quadrangle, we then estimate the physical aspect ratio of the business card and obtain a homography to rectify the quadrangle back to rectangular shape. We finally enhance the contrast of the rectified business card image using a S-shaped curve. Extensive experiments demonstrated the efficacy and robustness of our system.",

keywords = "Image enhancement, Image region analysis, Multimedia computing",

author = "Gang Hua and Zicheng Liu and Zhengyou Zhang and Ying Wu",

year = "2006",

doi = "10.1109/ICIP.2006.312471",

language = "English (US)",

isbn = "1424404819",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "373--376",

booktitle = "2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings",

note = "2006 IEEE International Conference on Image Processing, ICIP 2006 ; Conference date: 08-10-2006 Through 11-10-2006",

}

Hua, G, Liu, Z, Zhang, Z & Wu, Y 2006, Automatic business card scanning with a camera. in 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings., 4106544, Proceedings - International Conference on Image Processing, ICIP, pp. 373-376, 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA, United States, 10/8/06. https://doi.org/10.1109/ICIP.2006.312471

TY - GEN

T1 - Automatic business card scanning with a camera

AU - Hua, Gang

AU - Liu, Zicheng

AU - Zhang, Zhengyou

AU - Wu, Ying

PY - 2006

Y1 - 2006

N2 - In this paper, we present a system to automatically extract, rectify and enhance business card images. First the business card image patch is automatically segmented by minimizing a novel local-global variational energy. Second a quadrangle is fitted to the segmented image patch. With the four corner points of the quadrangle, we then estimate the physical aspect ratio of the business card and obtain a homography to rectify the quadrangle back to rectangular shape. We finally enhance the contrast of the rectified business card image using a S-shaped curve. Extensive experiments demonstrated the efficacy and robustness of our system.

AB - In this paper, we present a system to automatically extract, rectify and enhance business card images. First the business card image patch is automatically segmented by minimizing a novel local-global variational energy. Second a quadrangle is fitted to the segmented image patch. With the four corner points of the quadrangle, we then estimate the physical aspect ratio of the business card and obtain a homography to rectify the quadrangle back to rectangular shape. We finally enhance the contrast of the rectified business card image using a S-shaped curve. Extensive experiments demonstrated the efficacy and robustness of our system.

KW - Image enhancement

KW - Image region analysis

KW - Multimedia computing

UR - http://www.scopus.com/inward/record.url?scp=78649819206&partnerID=8YFLogxK

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U2 - 10.1109/ICIP.2006.312471

DO - 10.1109/ICIP.2006.312471

M3 - Conference contribution

AN - SCOPUS:78649819206

SN - 1424404819

SN - 9781424404810

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 373

EP - 376

BT - 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings

T2 - 2006 IEEE International Conference on Image Processing, ICIP 2006

Y2 - 8 October 2006 through 11 October 2006

ER -

Automatic business card scanning with a camera

Abstract

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Keywords

ASJC Scopus subject areas

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