Symbol detection in low-resolution images using a novel method

Kuang Chin Tai, Chien Hsu Chen

Research output: Contribution to journalArticle


The ability to detect taxis, pedestrian walk symbols, zebra crossings, and straight line tactile guide paths and junctions is essential for blind people in any city. This work applies a novel method that detects automatically these five targets via their colors, geometric elements and structural features. To reduce processing time, this method is tailored to low-resolution images that are roughly 80 x 60 pixels. Additionally, another novel method based on the Hough Transform can recognize straight lines, an important geometric element, in low-resolution images. The effectiveness and efficiency of the proposed method are validated experimentally.

Original languageEnglish
Pages (from-to)143-154
Number of pages12
JournalInternational Journal of Control and Automation
Issue number12
Publication statusPublished - 2014 Jan 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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