48,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
24 °P sammeln
  • Broschiertes Buch

License Plate Recognition is a form of automatic vehicle identification by using advanced image processing technology like computer vision and machine learning. Automatic License Plate Recognition (ALPR) is quite a challenging task due to the diversity of plate formats, fonts, fonts size and the non-uniform outdoor illumination conditions during image acquisition. There are many existing solutions for License Plate Recognition but the efficiency of localization and recognition is poor especially for Indian License Plates which is generally high complex in terms of license plate size, position…mehr

Produktbeschreibung
License Plate Recognition is a form of automatic vehicle identification by using advanced image processing technology like computer vision and machine learning. Automatic License Plate Recognition (ALPR) is quite a challenging task due to the diversity of plate formats, fonts, fonts size and the non-uniform outdoor illumination conditions during image acquisition. There are many existing solutions for License Plate Recognition but the efficiency of localization and recognition is poor especially for Indian License Plates which is generally high complex in terms of license plate size, position and fonts. The major problem in India is that most of the number plates do not adhere to the standards. Many license plates are seen with some symbol or picture like rose, flag, profession logo, film actor/actress image and the list continues endlessly. The objective is to extract and recognize vehicle registration numbers from vehicle images without any human intervention.
Autorenporträt
Dr. Parasuraman KUMAR, M.Tech., Ph.D., AP, Department of Information Technology and Engineering, Manonmaniam Sundaranar University, Tamilnadu, India. He has published more than 30 research articles. He has guided more than 50 students both M.Tech. and M.Phil. level also guiding for Ph.D., students.His research area Digital Signal Image Processing.