Object identification using mobile devices

Li‐Hong Juang

doi:10.1016/j.measurement.2014.01.029

2014-05-01

PRE

Li‐Hong Juang *

Zhi-Zhong Weng

DOI：10.1016/j.measurement.2014.01.029

原文链接

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摘要

En 中文

To detect object from complex background, illumination variations and texture by machine is very difficult but important for adaptive information service. In this research, we present a preliminary design and experimental results of object recognition from a mobile device that utilizes the texture and the color features by image pre-processing with a simple vector distance matching classifier to train and extract the characteristics. The result shows that the proposed method can adopt the few characteristic values and the accuracy can reach up to 100% of object identification rate when making a querying in a mobile phone. The Euclidean distance is also used to represent the object similarity. The similarity can reach 87.5%, 62.5%, 75% and 87.5% respectively. (C) 2014 Elsevier Ltd. All rights reserved.

Keyword:

Object recognition

Texture

Color features

Vector distance

Mobile phone

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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Measurement

IF:

5.6

论文数:

2.0W

被引数:

5.4W

机构

Shantou University

学者数:

1.3W

论文数: 7.8K

被引数: 1.1W

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