Comparison of Tensorflow Object Detection Networks for Licence Plate Localization

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dc.contributor.authorPeker, Murat
dc.date.accessioned2024-11-07T13:23:53Z
dc.date.available2024-11-07T13:23:53Z
dc.date.issued2019
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description1st Global Power, Energy and Communication Conference (IEEE GPECOM) -- JUN 12-15, 2019 -- Nevsehir, TURKEY
dc.description.abstractIn this work, the object detection networks of TensorFlow framework are trained and tested for the automatic license plate localization task. Firstly, a new dataset is prepared for Turkish license plates. The images in the dataset are labeled with two classes which are the car and the license plate. Four different object detection networks were configured to run on Google's Colab environment. These network configurations were the Single Shot MultiBox Detector (SSD) using MobileNet features and Resnet50 features, the Faster Region Convolutional Neural Network (Faster R-CNN) using Inception layers for features, and the Region-based Fully Convolutional Networks (R-FCN) with Resnet101 features. These networks were compared to determine the performance of license plate localization. Different types of input images were used to test the algorithms.
dc.description.sponsorshipNevsehir Haci Bektas Veli Univ,IEEE,IEEE Reg 8,IEEE Turkey Sect,IEEE Ind Applicat Soc,IEEE Ind Elect Soc,IEEE Power & Energy Soc,Aalborg Univ,Univ Nova Lisboa,Gazi Univ
dc.identifier.endpage105
dc.identifier.isbn978-1-5386-8086-5
dc.identifier.scopus2-s2.0-85070612373
dc.identifier.scopusqualityN/A
dc.identifier.startpage101
dc.identifier.urihttps://hdl.handle.net/11480/13772
dc.identifier.wosWOS:000851517900020
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2019 Ieee 1st Global Power, Energy and Communication Conference (Gpecom2019)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectSSD
dc.subjectFaster R-CNN
dc.subjectR-FCN
dc.subjectobject detection
dc.subjectlicense plate localization
dc.titleComparison of Tensorflow Object Detection Networks for Licence Plate Localization
dc.typeConference Object

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