Chowdhury, Pinaki Nath and Shivakumara, Palaiahnakote and Pal, Umapada and Lu, Tong and Blumenstein, Michael (2020) A new augmentation-based method for text detection in night and day license plate images. Multimedia Tools and Applications, 79 (43-44). pp. 33303-33330. ISSN 13807501, DOI https://doi.org/10.1007/s11042-020-09681-0.
Full text not available from this repository.Abstract
Despite a number of methods that have been developed for License Plate Detection (LPD), most of these focus on day images for license plate detection. As a result, license plate detection in night images is still an elusive goal for researchers. This paper presents a new method for LPD based on augmentation and Gradient Vector Flow (GVF) in night and day images. The augmentation involves expanding windows for each pixel in R, G and B color spaces of the input image until the process finds dominant pixels in both night and day license plate images of the respective color spaces. We propose to fuse the dominant pixels in R, G and B color spaces to restore missing pixels. For the results of fusing night and day images, the proposed method explores Gradient Vector Flow (GVF) patterns to eliminate false dominant pixels, which results in candidate pixels. The proposed method explores further GVF arrow patterns to define a unique loop pattern that represents hole in the characters, which gives candidate components. Furthermore, the proposed approach uses a recognition concept to fix the bounding boxes, merging the bounding boxes and eliminating false positives, resulting in text/license plate detection in both night and day images. Experimental results on night images of our dataset and day images of standard license plate datasets, demonstrate that the proposed approach is robust compared to the state-of-the-art methods. To show the effectiveness of the proposed method, we also tested our approach on standard natural scene datasets, namely, ICDAR 2015, MSRA-TD-500, ICDAR 2017-MLT, Total-Text, CTW1500 and MS-COCO datasets, and their results are discussed.
| Item Type: | Article |
|---|---|
| Funders: | Science Foundation for Distinguished Young Scholars of Jiangsu (Grant No. BK20160021, GPF014D-2019), National Natural Science Foundation of China (Grant No. 61672273, 61832008), Universiti Malaya |
| Uncontrolled Keywords: | Augmentation; Gradient vector flow; RGB color space; Text detection; License plate detection; License plate recognition |
| Subjects: | T Technology > TR Photography |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 29 Dec 2023 13:30 |
| Last Modified: | 29 Dec 2023 13:30 |
| URI: | http://eprints.um.edu.my/id/eprint/36427 |
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