Two-Dimensional Hidden Markov Models in Road Signs Recognition

Abstract

This paper presents an automatic road sign recognition system. The system bases on twodimensional hidden Markov models. First, a study of the existing road sign recognition research is presented. In this study, the issues associated with automatic road sign recognition are described, the existing methods developed to tackle the road sign recognition problem are reviewed, and a comparison of the features of these methods is given. Second, the created road sign recognition system is described. The system is able to recognize the road signs, which was detected earlier. The system makes use of two dimensional discrete wavelet transform for features extraction of road signs. In recognition process system bases on two dimensional hidden Markov models. The experimental results demonstrate that the system is able to achieving an average recognition rate of 83% using the two-dimensional hidden Markov models and the wavelet transform.