Camera-based signage detection and recognition for blind persons

Shuihua Wang*, Yingli Tian

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

19 Citations (Scopus)


Signage plays an important role for wayfinding and navigation to assist blind people accessing unfamiliar environments. In this paper, we present a novel camera-based approach to automatically detect and recognize restroom signage from surrounding environments. Our method first extracts the attended areas which may content signage based on shape detection. Then, Scale-Invariant Feature Transform (SIFT) is applied to extract local features in the detected attended areas. Finally, signage is detected and recognized as the regions with the SIFT matching scores larger than a threshold. The proposed method can handle multiple signage detection. Experimental results on our collected restroom signage dataset demonstrate the effectiveness and efficiency of our proposed method.

Original languageEnglish
Title of host publicationComputers Helping People with Special Needs - 13th International Conference, ICCHP 2012, Proceedings
Number of pages8
EditionPART 2
Publication statusPublished - 2012
Externally publishedYes
Event13th International Conference on Computers Helping People with Special Needs, ICCHP 2012 - Linz, Austria
Duration: 11 Jul 201213 Jul 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7383 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Conference on Computers Helping People with Special Needs, ICCHP 2012


  • Blind people
  • Navigation and wayfinding
  • Signage detection and recognition


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