Color flag recognition based on HOG and color features in complex scene

Kun Hao; Zhiyi Qu; Qian Gong

doi:10.1117/12.2282041

21 July 2017 Color flag recognition based on HOG and color features in complex scene

Kun Hao, Zhiyi Qu, Qian Gong

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104200A (2017) https://doi.org/10.1117/12.2282041
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

In complex scene, the exact determination and division of color is the key to color flag recognition tasks. Aiming at the problem that the traditional recognition methods have low recognition accuracy and can not be identified in complex scene and multi-targets, this paper proposes a color threshold determination (CTD) method to identify color flag. Firstly, the color sample data set under different light conditions is constructed, and the filtering of the noise pixels is realized by the projection method in the HSV color space to obtain the final color decision threshold. Secondly, color decision is made for each pixel in the candidate region of interest detected by Gentle Adaboost cascade classifier based on HOG feature. Finally, the color feature is matched by the preset threshold, and the matching region is retained to obtain the final recognition results. Experiments show that the proposed approach has better performance in the color flag recognition task under complex scene. The recognition accuracy was 97.1%, the sensitivity was 90.70% and the specificity was 99.33%.

Citation Download Citation

Kun Hao, Zhiyi Qu, and Qian Gong "Color flag recognition based on HOG and color features in complex scene", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200A (21 July 2017); https://doi.org/10.1117/12.2282041

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