Identification of ancient coins based on fusion of shape and local features

被引：21

作者：

Huber-Moerk, Reinhold ^{[1
]}

Zambanini, Sebastian ^{[2
]}

Zaharieva, Maia ^{[3
]}

Kampel, Martin ^{[2
]}

机构：

[1] Austrian Inst Technol GmbH, Business Unit High Performance Image Proc, Dept Safety & Secur, A-2444 Seibersdorf, Austria

[2] Vienna Univ Technol, Comp Vis Lab, Inst Comp Aided Automat, A-1040 Vienna, Austria

[3] Vienna Univ Technol, Interact Media Syst Grp, Inst Software Technol & Interact Syst, A-1040 Vienna, Austria

来源：

MACHINE VISION AND APPLICATIONS | 2011年 / 22卷 / 06期

关键词：

Coin identification; Ancient coins; Shape matching; Local features; Fusion; OBJECT RECOGNITION; ALGORITHM; SINGLE; SYSTEM;

D O I：

10.1007/s00138-010-0283-y

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a vision-based approach to ancient coins' identification. The approach is a two-stage procedure. In the first stage an invariant shape description of the coin edge is computed and matching based on shape is performed. The second stage uses preselection by the first stage in order to refine the matching using local descriptors. Results for different descriptors and coin sides are combined using naive Bayesian fusion. Identification rates on a comprehensive data set of 2400 images of ancient coins are on the order of magnitude of 99%.

引用

页码：983 / 994

页数：12

共 52 条

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