• Ramendra Kumar
• Prof. Anoop Tiwari

A Image text detection and recognition is key research area due to lot of advance application in various engineering field. This work addresses end-to-end scene text recognition, which is divided into a text detection drawback and a text recognition drawback. For such reasons, an enhanced algorithm is proposed in which image is preprocessed before detection phase. This paper proposed four different technique implementation using MATLAB software. Canny edge detection, sobel edge, CLAHE edge and canny-CLAHE edge detection techniques and recognition algorithm are implemented for image traffic sign text and simulated. Simulated result shows the significant enhancement of simulated parameters as compared to the existing techniques.

Traffic, CLAHE, MATLAB, Text, Detection, Recognition, Image.

"An Efficient Approach for Traffic Sign Text Detection and Recognition based on Canny, Sobel and Clahe Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.1148-1152, August-2020, Available :http://www.jetir.org/papers/JETIR2008144.pdf

"An Efficient Approach for Traffic Sign Text Detection and Recognition based on Canny, Sobel and Clahe Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp1148-1152, August-2020, Available at : http://www.jetir.org/papers/JETIR2008144.pdf