After all with many trials and errors, I implemented the line receptor algorithms including line receptor creation, duplication removal, and filtering using entropy maximization algorithms. There were several logical errors in the sample codes, which I found at the web, and it made me take longer time for implementation. My algorithms are faster and more accurate than the sample code. Anyway, I did immediate experiments to the small set of traffic signs first. The result and analysis is summarized at here: Extension for the traffic sign recognition#Small set test and analysis

With the small set of traffic signs, our algorithm works pretty well with zero error rate, while showing fast learning convergence.

However, we will see for following weeks whether our algorithms will work well for the full set (328 types of traffic signs) and , if necessary, further extend the functionality to employ more traffic sign features. This week, I had a conference call with Dr. Wang.