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An Identification and Feature Search System for Scanned Comics  

Lee, Sang-Hoon (연세대학교 전기전자공학과)
Choi, Nakyeon (연세대학교 전기전자공학과)
Lee, Sanghoon (연세대학교 전기전자공학과)
Publication Information
Journal of KIISE:Databases / v.41, no.4, 2014 , pp. 199-208 More about this Journal
Abstract
In this paper, we represent a system of identification and feature search for scanned comics in consideration of their content characteristics. For creating the feature of the scanned comics, we utilize a method of hierarchical symmetry fingerprinting. Proposed identification and search system is designed to give online service provider, such as Webhard, an immediate identification result under conditions of huge volume of the scanned comics. In simulation part, we analyze the robustness of the identification of the fingerprint to image modification such as rotation and translation. Also, we represent a structure of database for fast matching in feature point database, and compare search performance between other existing searching methods such as full-search and most significant feature search.
Keywords
scanned comics; feature point extraction; image fingerprint; fingerprint database;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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