Traffic Sign Recognition Using Color Histogram and Mutual Information(Internationa Session 4)

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概要

• 論文の詳細を見る

• In this paper, we present an approach to automatically detect and recognize the traffic signs from natural scenes. The proposed method analyzes the color character to extract and recognize possible territories of traffic signs. Method of extracting possible territories is to use the characteristics of YUV, YIQ and HSI color space from the RGB one. It can recognize the traffic signs by using the color and mutual information of segmented images. From the result of the experiment, the proposed system has proven its outstanding capability in extracting and recognizing the candidate traffic signs for the observed images regardless of size and illumination conditions of input images.

• 2007-10-18

著者

• Cho Wanhyun

  Department of Statistics, Chonnam National University

• Kim Sunworl

  Department of Statistics, Chonnam National University

• Lee Myungeun

  Department of Computer Science, Chonnam National University

• Kim Soohyung

  Department of Computer Science, Chonnam National University

• Park Soonyoung

  Department of Electronics Engineering, Mokpo National University

関連論文

• Traffic Sign Recognition Using Color Histogram and Mutual Information(Internationa Session 4)

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