A Novel MSER based Method for Detecting Text in License Plates
Article No.: 33, Pages 1 - 6
Abstract
In this paper, we propose a novel method for detecting text in license plate in images. The proposed algorithm is based on MSER for the extraction of text in candidate regions and on dynamic DBscan algorithm for classifying connected region, and the outer tangent of circles intersections for filtering regions with the same orientations. Next, a character classifier based on geometrical and statistical constraints of character is used to eliminate false detections. Experiments showed that our method achieves a better detection than that proposed by [18](for text detection).
References
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- A Novel MSER based Method for Detecting Text in License Plates
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Published In
May 2018
357 pages
ISBN:9781450353045
DOI:10.1145/3230905
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Association for Computing Machinery
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Publication History
Published: 02 May 2018
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- Refereed limited
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LOPAL '18
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LOPAL '18 Paper Acceptance Rate 61 of 141 submissions, 43%;
Overall Acceptance Rate 61 of 141 submissions, 43%
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