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Recognition of vehicle number plates is very important in the field of transportation security systems. Template matching is one of the most popular techniques used for number plate recognition. This algorithm works by evaluating the image pattern that will be recognized and then comparing it with the image pattern in the template. A number plate is an object in an image that has many characters which usually consists of numbers and letters. Character recognition cannot be done simultaneously in an image. A number plate object in the image needs to be done early processing, normalization, and segmentation to recognize the character. While to separate each character, a bounding box algorithm is used. This technique is relatively simple and has fast computing. So this study examines a combination of template matching and bounding box methods to detect Indonesian car license plates. Based on the tests that have been done, the accuracy reaches 80%.

License Number Plate Recognition using Template Matching and Bounding Box Method