Abstract
The current topic that is interesting as a solution of the impact of public service improvement toward vehicle is License Plate Recognition (LPR), but it still needs to develop the research of LPR method. Some of the previous researchs showed that K-Nearest Neighbour (KNN) succeed in car license plate recognition. The Objectives of this research was to determine the implementation and accuracy of Otsu Method toward license plate recognition. The method of this research was Otsu method to extract the characteristics and image of the plate into binary image and KNN as recognition classification method of each character. The development of the license plate recognition program by using Otsu method and classification of KNN is following the steps of pattern recognition, such as input and sensing, pre-processing, extraction feature Otsu method binary, segmentation, KNN classification method and post-processing by calculating the level of accuracy. The study showed that this program can recognize by 82% from 100 test plate with 93,75% of number recognition accuracy and 91,92% of letter recognition accuracy.
Highlights
The growth of vehicles in Indonesia is increasing significantly
The trends and topics that are interesting about efforts to improve service to the public transportation such as the parking lot and toll system is the recognition of a vehicle license plate numbers automatically or License Plate Recognition (LPR) [2] [3]
LPR widely used in the access to the parking lot, vehicle traffic control and security and surveillance vehicles [4]
Summary
BPS Semarang data [1], states that the growth of the average vehicle major cities in Indonesia about 8% per year with growth of road is only about 2-5% per year. Semarang city itself has a growth of private vehicles (cars and motorcycles) as much as 2%. Increased growth of such vehicles should be balanced with efforts to improve services for vehicles such as the parking and toll systems. The trends and topics that are interesting about efforts to improve service to the public transportation such as the parking lot and toll system is the recognition of a vehicle license plate numbers automatically or License Plate Recognition (LPR) [2] [3]. LPR utilizes input vehicle license plate as the vehicle's identity in the system
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