Symbol detection in low-resolution images using a novel method

Kuang Chin Tai, Chien Hsu Chen

Research output: Contribution to journalArticlepeer-review


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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