• K.V.K.SASIKANTH
• M.YASWANTH BALARAMARAJU
• P.SAI MEGHANA
• S.GOWRI PRIYANKA
• K.SAIRAM CHOWDARY

License plate recognition (LPR) plays a significant role throughout this busy world, owing to the rise in vehicles day by day. Stealing of vehicles, breaking traffic rules, coming into restricted space also are increasing linearly, thus to dam this act registration code recognition is intended. Among the fundamental process steps such as detection of number plate, segmentation of characters and recognition of each character, segmentation plays an important art, since the accuracy of recognition is based on how perfect the segmentation is done. To avoid problems like unwanted illumination, tilt that degrades the segmentation which in turn affects the recognition accuracy numerous algorithms are developed for this work. This paper presents a strong technique for localization, segmentation and recognition of the characters within the located plate. Images from still cameras or videos are obtained and regenerated in to grayscale images. Hough lines are determined using Hough transform and therefore the segmentation of grey scale image generated by finding edges for smoothing image is employed to cut back the quantity of connected part and then connected part is calculated. Finally, single character within the registration code is detected. The aim is to indicate that the planned technique achieved high accuracy by optimizing numerous parameters that has higher recognition rate than the standard ways.

Image Processing, License Plate Recognition, Automatic License Plate Recognition

"A ROBUST-EFFICIENT WAY OF APPROCH TO DETECT VEHICLE LICENSE PLATE USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.121-124, April-2019, Available :http://www.jetir.org/papers/JETIRBE06023.pdf

"A ROBUST-EFFICIENT WAY OF APPROCH TO DETECT VEHICLE LICENSE PLATE USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp121-124, April-2019, Available at : http://www.jetir.org/papers/JETIRBE06023.pdf