Jul 11, 2016 · This work proposes a novel benchmark composed of a dataset designed to focus specifically on the character segmentation step of the ALPR within an evaluation ...
This paper introduced a new benchmark to the license plate character segmentation (LPCS) prob- lem. This benchmark includes a new dataset with 2,000 images ...
A benchmark composed of a dataset designed to focus specifically on the character segmentation step of the ALPR within an evaluation protocol is proposed ...
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To tackle the LPCS problem, this work proposes a benchmark composed of a dataset designed to focus specifically on the character segmentation step of the ALPR ...
This dataset aims at evaluating the License Plate Character Segmentation (LPCS) problem. The experimental results of the paper Benchmark for License Plate ...
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The proposed algorithm focuses on segmenting the characters of two rows license plate image. Before the segmentation algorithm is applied, the License plate ...
Errata: Benchmark for license plate character segmentation ...
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Researchers proposed a new method for Chinese LP segmentation in Abdussalam et al. (2018), where segmentation of LP is done by applying powerful DL methods ...
Details ; Title. Benchmark for license plate character segmentation ; Is Part Of. Journal of electronic imaging, 2016-09, Vol.25 (5), p.53034 ; Language. English.
Mar 27, 2022 · Abstract:We evaluated a lightweight Convolutional Neural Network (CNN) called LPRNet [1] for automatic License Plate Recognition (LPR).
Missing: Segmentation. | Show results with:Segmentation.