The principle and clustering method of license plate color difference recognition

Juntao Hou; Yan Yang

doi:10.1117/12.2638710

23 May 2022 The principle and clustering method of license plate color difference recognition

Juntao Hou, Yan Yang

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 1225414 (2022) https://doi.org/10.1117/12.2638710
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

To solve the problem that the existing license plate recognition algorithm process is complex and the real-time recognition detection is ineffective, a license plate recognition method based on the principle of color difference components and clustering is proposed. Firstly, the license plate image is denoised by median filter, then the chromatic aberration image is obtained by mathematical operation using the RGB channel characteristics of the image, then the optimal threshold value is searched by maximum entropy traversal method, the chromatic aberration image is segmented by threshold value, and the minimum bounding rectangle of the segmented area is marked, and the clustering principle is introduced to merge the disconnected areas of some special characters. Distance thresholds are derived from the supervised learning of the two classifications and are ultimately marked for subsequent feature extraction. The results of sensitivity and accuracy index calculation are 97.4% and 96.1%, respectively. The recognition accuracy is 96.6%, which basically meets the practical application.

Citation Download Citation

Juntao Hou and Yan Yang "The principle and clustering method of license plate color difference recognition", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 1225414 (23 May 2022); https://doi.org/10.1117/12.2638710

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