Number Plate Recognition Using an Improved Segmentation

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It is believed that there are more than half a billion cars on the roads worldwide. All those vehicles have their vehicle identification number as their primary identifier. The vehicle identification number is actually a license number which states a legal license to participate in the public traffic. All world-wide vehicles should have its license number - written on a license plate mounted onto its body. There are several kinds of license plates used in the country. License plate used in India mostly consists of 8, 9, or 10 character. License plate is the ID of a vehicle. So, LPR is the important research topic now days. LPR system is composed of three parts, which are license plate detection, character segmentation and character recognition respectively. With the development of transportation technology and the universality of the vehicles, vehicle license plate management system has become a popular subject. License plate recognition applies image processing and character recognition technology to identify vehicles by reading their license plates. Anti-terrorism and public security is increasing worldwide and so on the global law enforcement has been deploying vehicle licence.

Autorentext

Ganesh T Sutar concluiu o mestrado (ELECTRÓNICA) na Universidade de Shivaji, Kolhapur, Índia. Trabalha actualmente como formador especializado no Programa de Desenvolvimento de Competências Suryamitra em consultoria MITCON e Engg. services Ltd. Pune. Ele tem mais de 9 anos de experiência de ensino. A sua área de especialização é processamento de imagem, micro-controlador, etc.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783330002104
    • Genre Elektrotechnik
    • Sprache Englisch
    • Anzahl Seiten 96
    • Größe H220mm x B150mm x T6mm
    • Jahr 2019
    • EAN 9783330002104
    • Format Kartonierter Einband
    • ISBN 3330002107
    • Veröffentlichung 02.04.2019
    • Titel Number Plate Recognition Using an Improved Segmentation
    • Autor Ganesh T. Sutar , Arati M. Lohar , Prashant M. Jadhav
    • Gewicht 161g
    • Herausgeber LAP LAMBERT Academic Publishing

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