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Paper Details
Paper Title
Vehicle License Plate Recognition by Enhanced MSER
Authors
A. Vishnu Vardhan, N. Surekha, P. Lalitha, M. Sharon, N. Ramya
Abstract
Locating and extracting the words or sentences from the natural images is one of the main challenging area in computer vision. In that, area of automatic license plate localization and recognition has been a difficult problem for many years. Images are given as input from a dataset. Here we need to extract only number plate text even the input image may contain other text. Many challenges involved in detecting text from the images. Some challenges are low contrast, blur images, different lighting conditions and many geometrical distortions. To handle this kind of challenges and to improve the accuracy, Maximally Stable Extremal Regions (MSER) technique is used.
Keywords- Image, Maximally Stable Extremal Regions, Text Localization, Computer Vision, Text Recognition.
Publication Details
Unique Identification Number - IJEDR2001096Page Number(s) - 503-506Pubished in - Volume 8 | Issue 1 | March 2020DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
A. Vishnu Vardhan, N. Surekha, P. Lalitha, M. Sharon, N. Ramya, "Vehicle License Plate Recognition by Enhanced MSER", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.503-506, March 2020, Available at :http://www.ijedr.org/papers/IJEDR2001096.pdf
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