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A Head-mounted Device for Understanding Text in Natural Scenes

Carlos Merino, Karel Lenc, Majid Mirmehdi, A Head-mounted Device for Understanding Text in Natural Scenes. Fourth International Workshop on Camera-Based Document Analysis and Recognition, pp. 29–41. August 2011. PDF, 5501 Kbytes. External information

Abstract

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 14fps for $\mathbf{640\times 480}$ images) which uses Maximal Stable Extremal Regions (MSERs) for image segmentation is proposed. Comparative results against the ICDAR 2003 text locating competition database along with performance figures are presented.

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