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Title: Car recognition on a static image using 2d basic shape geometry
Authors: Suprijadi, Badar Agung Nugroho
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 21
Language: English
In computer vision, object recognition is a technology which able to ease human activity to identify object obtained from digital image. In this research, the identified object is car, and the recognition method is using arrangement of 2 dimensional basic geometric shape that correspond to the simplification of car image. There are some processes that must be performed, such as: pre-processing, image segmentation, object (car parts) extraction, confidence rate measurement, balance point measurement, outline masking, feature and pattern matching. There are three components that detected as main car parts: body, windows and tires, and there is also car shadow as complementary component which help the detection of main component. The result shows we are successfully recognize 95% of car image samples.
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