A New DCT-PCM Method for License Plate Number Detection in Drone Images

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Mokayed, HamamLuleå tekniska universitet,EISLAB (author)

A New DCT-PCM Method for License Plate Number Detection in Drone Images

Article/chapterEnglish2021

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Elsevier,2021
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LIBRIS-ID:oai:DiVA.org:ltu-84640
https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84640URI
https://doi.org/10.1016/j.patrec.2021.05.002DOI

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Language:English
Summary in:English

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Validerad;2021;Nivå 2;2021-06-14 (beamah);Forskningsfinansiärer: Ministry of Higher Education, Malaysia (FP104-2020); Natural Science Foundation of China (61672273, 61832008); Science Foundation for Distinguished Young Scholars of Jiangsu (BK20160021)
License plate number detection in drone images is a complex problem because the images are generally captured at oblique angles and pose several challenges like perspective distortion, non-uniform illumination effect, degradations, blur, occlusion, loss of visibility etc. Unlike, most existing methods that focus on images captured by orthogonal direction (head-on), the proposed work focuses on drone text images. Inspired by the Phase Congruency Model (PCM), which is invariant to non-uniform illuminations, contrast variations, geometric transformation and to some extent to distortion, we explore the combination of DCT and PCM (DCT-PCM) for detecting license plate number text in drone images. Motivated by the strong discriminative power of deep learning models, the proposed method exploits fully connected neural networks for eliminating false positives to achieve better detection results. Furthermore, the proposed work constructs working model that fits for real environment. To evaluate the proposed method, we use our own dataset captured by drones and benchmark license plate datasets, namely, Medialab for experimentation. We also demonstrate the effectiveness of the proposed method on benchmark natural scene text detection datasets, namely, SVT, MSRA-TD-500, ICDAR 2017 MLT and Total-Text.

Subject headings and genre

NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
Discrete cosine transform
Phase congruency
License plate detection
Scene text detection
Deep learning
Drone images
Machine Learning
Maskininlärning

Added entries (persons, corporate bodies, meetings, titles ...)

Shivakumara, PalaiahnakoteFaculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia (author)
Hock Woon, HonAdvanced Informatics Lab, MIMOS Berhad, Kuala Lumpur, Malaysia (author)
Kankanhalli, MohanSchool of Computing, National University of Singapore, Singapore (author)
Lu, TongNational Key Lab for Novel Software Technology, Nanjing University, Nanjing, China (author)
Pal, UmapadaComputer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India (author)
Luleå tekniska universitetEISLAB (creator_code:org_t)

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In:Pattern Recognition Letters: Elsevier148, s. 45-530167-86551872-7344

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