Document Image Retrieval Based on Cross-Ratio and Hashing

LanguageJapanese
TypeProceedings of Japanese Conferences
AuthorsTomohiro Nakai, Koichi Kise, Masakazu Iwamura, Keinosuke Matsumoto
TitleDocument Image Retrieval Based on Cross-Ratio and Hashing
JournalIEICE Technical Report
Vol.104
No.PRMU-742
Presentation numberPRMU2004-249
Pagespp.103-108
ReviewedNot reviewed
DateMarch 2005
Research fieldsDocument Image Analysis, Document Image Retrieval
KeyNakai2005_IEICEPRMU (id=349)

Abstract

In this report, we propose a new method of document image retrieval using digital cameras. The proposed method is to retrieve from document images which include parts or the whole of document images acquired by a digital camera. For this purpose, it is required to solve the problem of ``perspective distortion'' of images, as well as to establish a way for matching parts of document images flexibly. These are achieved based on the following characteristic points of the proposed method: (1) Indexing of document images using the projective invariant called the ``cross-ratio'', (2) Voting with hashes whose indices are defined by the cross-ratios. From experimental results using digital cameras with high resolution and a camera phone, we demonstrate the effectiveness of the proposed method.

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