Fast Camera-Based Document Image Retrieval Using Local Arrangements of Feature Points

LanguageJapanese
TypeJournal Articles
AuthorsTomohiro Nakai, Koichi Kise, Masakazu Iwamura
TitleFast Camera-Based Document Image Retrieval Using Local Arrangements of Feature Points
JournalTrans. IEICE
Vol.J89-D
No.9
Pagespp.2045-2054
ReviewedReviewed
DateSeptember 2006
Research fieldsDocument Image Retrieval
URLhttp://search.ieice.org/bin/summary.php?id=j89-d_9_2045
KeyNakai2006_IEICE (id=847)
2006 IEICE Best Paper Award Winner

Abstract

Document image retrieval is a task of searching document images from the database based on users' queries. In this paper, we propose a method of document image retrieval which employs document images captured by digital cameras as queries. Unlike document image retrieval using scanners, it is necessary to deal with the problem of perspective distortion. In the proposed method, document images are characterized using local arrangements of feature points, which allows us fast retrieval of O(N) where N is the number of feature points. For the description of arrangements, perspective invariants are employed for the retrieval under perspective distortion.

Files

Export this publication

Format definition
Edits apply immediately and stay in effect until you pick a style again or reset. First line is the default; add lines like "book: …" to override per type.
How to write the definition

Insert a field with braces like {authors}. A part enclosed in [ ... ] is omitted entirely when any field inside it is empty. Available fields:

{authors}{authors_and}{authors_ja}{authors_ja_tight}{authors_en}{authors_en_and}{authors_tight}{first_author}{title}{title_ja}{title_en}{journal}{journal_ja}{journal_en}{book_title}{volume}{number}{series}{presen_id}{pages}{pp}{num_pages}{year}{month}{month_en}{month_short}{ym}{date}{date_ja}{date_en}{publisher}{address}{location}{review}{review_ja}{review_en}{reviewed_mark}{presen_type}{type}{type_label}{doi}{url}{key}{awards}

← Back to list