Real-Time Case-Based Recognition of Camera-Captured Characters
Language
Japanese
Type
Proceedings of Japanese Conferences
Authors
Masakazu IWAMURA, Tomohiko TSUJI, Koichi KISE
Title
Real-Time Case-Based Recognition of Camera-Captured Characters
Journal
IEICE Technical Report
Vol.
109
No.
418
Presentation number
PRMU2009-222
Pages
pp.87-92
Reviewed
Not reviewed
Date
February 2010
Research fields
Document Image Analysis, Pattern recognition
Key
Iwamura2010_IEICEPRMU (id=1135)
Abstract
In this paper, in the recognition problem of camera-captured characters, we present how to realize quickand precise recognition using a lot of case examples stored in a database. To be more precise, we introduce our fastand robust approximate nearest neighbor search method, originally designed for speci c object recognition, to ourreal-time camera-based character recognition method. In the experiments using a database storing 100 fonts, wecon rmed that the proposed method achieved high performance in both recognition rate and processing time.
Tab-separated. Paste into the sheet starting at column A. Required fields that cannot be inferred are left blank.
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:
One macro per line as \name{field}{field}…. A field name in braces is replaced by its (LaTeX-escaped) value; other text is kept. Rename macros or add lines freely — they appear in the macro selector. A line like master_thesis: thesis fixes the macro for a type (automatic choice: journals use paperdoi with a DOI, paperno with a number, else paper; conferences conf with pages, else confpaper; books book). {pages} comes as 119--124; {journal} falls back to the book title. Fields: