Text detection and recognition for semantic mapping in indoor navigation

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dc.contributor.authorSami, Muhammad
dc.contributor.authorAyaz, Yasar
dc.contributor.authorJamil, Mohsin
dc.contributor.authorGilani, Syed Omer
dc.contributor.authorETAL..
dc.date.accessioned2023-12-18T12:06:03Z
dc.date.available2023-12-18T12:06:03Z
dc.date.issued2015-08-24
dc.descriptionIn robotics, navigation is defined as finding a safe passage for robot’s movement from current point to a distant goal point.
dc.description.abstractThis paper presents a novel way for detecting sign board and text recognition to aid navigation in indoor environment. Using text as a landmark for vision based navigation is still an active research and till date all algorithms developed for detection and recognition of texts for an indoor navigation have a lot of room to make it applicable on real time. Our proposed method is an extension of the work and will aid in the on going research. We have achieved an accuracy of 80% and were able to extract sign boards text from actual scenes. Keywords: Text recognition, Robots, Image color analysis, Image edge detection, Navigation, Semantics, Indoor environments
dc.identifier.citationSami, M., Ayaz, Y., Jamil, M., Gilani, S. O., & Naveed, M. (2015, August). Text detection and recognition for semantic mapping in indoor navigation. In 2015 5th International Conference on IT Convergence and Security (ICITCS) (pp. 1-4). IEEE.
dc.identifier.doihttps://doi.org/10.1109/ICITCS.2015.7293024
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/248
dc.language.isoen
dc.publisherIEEE Xplore
dc.titleText detection and recognition for semantic mapping in indoor navigation
dc.typeArticle

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