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http://dx.doi.org/10.6109/jkiice.2017.21.1.123

Flower Recognition System Using OpenCV on Android Platform  

Kim, Kangchul (Department of Computer Engineering, Gradute School, Chonnam National University)
Yu, Cao (Department of Computer Engineering, Gradute School, Chonnam National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.1, 2017 , pp. 123-129 More about this Journal
Abstract
New mobile phones with high tech-camera and a large size memory have been recently launched and people upload pictures of beautiful scenes or unknown flowers in SNS. This paper develops a flower recognition system that can get information on flowers in the place where mobile communication is not even available. It consists of a registration part for reference flowers and a recognition part based on OpenCV for Android platform. A new color classification method using RGB color channel and K-means clustering is proposed to reduce the recognition processing time. And ORB for feature extraction and Brute-Force Hamming algorithm for matching are used. We use 12 kinds of flowers with four color groups, and 60 images are applied for reference DB design and 60 images for test. Simulation results show that the success rate is 83.3% and the average recognition time is 2.58 s on Huawei ALEUL00 and the proposed system is suitable for a mobile phone without a network.
Keywords
Android; OpenCV; Flowers Recognition; ORB; Color Classification;
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