A Head-Mounted Device for Recognizing Text in Natural Scenes

  • Carlos Merino-Gracia
  • Karel Lenc
  • Majid Mirmehdi
Conference paper

DOI: 10.1007/978-3-642-29364-1_3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7139)
Cite this paper as:
Merino-Gracia C., Lenc K., Mirmehdi M. (2012) A Head-Mounted Device for Recognizing Text in Natural Scenes. In: Iwamura M., Shafait F. (eds) Camera-Based Document Analysis and Recognition. CBDAR 2011. Lecture Notes in Computer Science, vol 7139. Springer, Berlin, Heidelberg


We present a mobile head-mounted device for detecting and tracking text that is encased in an ordinary flat-cap hat. The main parts of the device are an integrated camera and audio webcam together with a simple remote control system, all connected via a USB hub to a laptop. A near to real-time text detection algorithm (around 14 fps for 640×480 images) which uses Maximal Stable Extremal Regions (MSERs) for image segmentation is proposed. Comparative text detection results against the ICDAR 2003 text locating competition database along with performance figures are presented.


wearable device text detection text understanding MSER 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Carlos Merino-Gracia
    • 1
  • Karel Lenc
    • 2
  • Majid Mirmehdi
    • 3
  1. 1.Neurochemistry and Neuroimaging LaboratoryUniversity of La LagunaSpain
  2. 2.Center for Machine PerceptionCzech Technical UniversityCzech Republic
  3. 3.Visual Information LaboratoryUniversity of BristolUK

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