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Car recognition on a static image using 2d basic shape geometry


Article Information

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

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 21

Language: English

Categories

Abstract

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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