Presentation 2010-03-16
Improvement of Accuracy of Document Image Retrieval by Expanding Queries and Databases
Megumi CHIKANO, Kazumasa IWATA, Koichi KISE, Masakazu IWAMURA, Seiichi UCHIDA, Shinichiro OMACHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, we propose a method to improve accuracy of document image retrieval for a camera-pen system. The system is to acquire handwriting on a printed document as digital ink. In this system, document image retrieval is employed to locate the pen-tip position. Features calculated based on the foreground image are used to retrieve the document image and the pen-tip position on it. A problem of this system is that severe perspective distortion in the query image prevents us from acquiring an accurate position. To solve this problem, we improve the discrimination power of the features using a perspective invariant. In addition, we propose two expansion methods which bring database image and query image closer. Database expansion is to store geometrically distorted images in the database, and query expansion is to generate transformed images from a query image. From the experimental results, we confirm that the best combination is the query expansion with the proposed feature.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) document image retrieval / document image processing / LLAH / handwriting / camera-pen system
Paper # PRMU2009-319,HIP2009-204
Date of Issue

Conference Information
Committee PRMU
Conference Date 2010/3/8(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Accuracy of Document Image Retrieval by Expanding Queries and Databases
Sub Title (in English)
Keyword(1) document image retrieval
Keyword(2) document image processing
Keyword(3) LLAH
Keyword(4) handwriting
Keyword(5) camera-pen system
1st Author's Name Megumi CHIKANO
1st Author's Affiliation School of Engineering, Osaka Prefecture University()
2nd Author's Name Kazumasa IWATA
2nd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
3rd Author's Name Koichi KISE
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
4th Author's Name Masakazu IWAMURA
4th Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
5th Author's Name Seiichi UCHIDA
5th Author's Affiliation Faculity of Information Science and Electrical Engineering, Kyushu University
6th Author's Name Shinichiro OMACHI
6th Author's Affiliation Graduate School of Engineering, Tohoku University
Date 2010-03-16
Paper # PRMU2009-319,HIP2009-204
Volume (vol) vol.109
Number (no) 470
Page pp.pp.-
#Pages 6
Date of Issue