2D shape recognition using biological sequence alignment tools

被引：0

作者：

Bicego, Manuele ^{[1
]}

Lovato, Pietro ^{[1
]}

机构：

[1] Univ Verona, Dept Comp Sci, I-37100 Verona, Italy

来源：

2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) | 2012年

关键词：

ALGORITHMS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a novel 2D shape recognition approach is proposed. The main idea is to exploit in this context the huge amount of work carried out by bioinformaticians in the biological sequence analysis research field. In the proposed approach, we encode shapes as biological sequences, employing standard and well established sequence alignment tools to devise a similarity score, finally used in a nearest neighbour scenario. Despite its simplicity, obtained results on standard datasets are really encouraging.

引用

页码：1359 / 1362

页数：4

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