An Efficient Approach for Number Plate Extraction from Vehicles Image under Image Processing
نویسندگان
چکیده
Automatic Number Plate Recognition (ANPR) is an image-processing technology and an important field of research that identifies vehicles by their number plates in which the number plate information is extracted from vehicle's image or from sequence of images without direct human intervention. ANPR consists of 4 phases: Preprocessing, number plate extraction, character segmentation, character recognition. This paper presents an efficient approach for number plate extraction from preprocessed vehicle input image using morphological operations, thresholding, sobel vertical edge detection and connected component analysis. The input image is firstly preprocessed using iterative bilateral filter and adaptive histogram equalization. Keywords— Automatic Number Plate Recognition, iterative bilateral filter, adaptive histogram equalization, number plate extraction, morphological operations, thresholding, sobel edge detection, connected component analysis.
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