A Survey on Real Time Text Detection and Recognition from Traffic Panels
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 12
Abstract
The text detection and recognition from traffic panels is a challenging problem. Number of important application areas is dependent on text detection and recognition, including advanced driver assistance systems, road surveying, and autonomous vehicles. Text detection and recognition on traffic panels has been thoroughly studied for a long time. However, still it remains a challenge in computer vision due to its different types and the huge variability of the information depicted in them. This problem can be divided in two stages; First stage will be detection of region and second will be character recognition. The detection stage exploits knowledge of the structure of the scene, the size and location of the road in the frame. Once a potential traffic panels has been located, the next stage attempts to recognize text within the region. For detection and recognition of text from traffic panels, appropriate methods must be applied for accuracy purpose. Appropriate method will be achieved by survey on different methods of text detection and recognition from traffic boards.
Authors and Affiliations
Aparna A. Dalve, Sankirti S. Shiravale
Keywords
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