Abstract:
In this paper, we present a system to recognize text in traffic signs, along with its context based recognition result corrections that we developed. This system detects ...Show MoreMetadata
Abstract:
In this paper, we present a system to recognize text in traffic signs, along with its context based recognition result corrections that we developed. This system detects text in traffic signs region using contour detection and using KNN Classifier to recognize letters in it. The result of the recognitions that may contain errors will be corrected using Forward Reverse Dictionary that has Contextual Database. This testing is done for recognition system without correction and recognition system with correction on a sample sign. This implementation increases the accuracy rate of word recognition by 10% at 10% noise on a 100% area which is quite good.
Date of Conference: 03-04 October 2016
Date Added to IEEE Xplore: 13 February 2017
ISBN Information:
Electronic ISSN: 2470-640X