Automatic Reading of Traffic Tickets

  • Nabeel Murshed
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2423)

Abstract

The present work presents a prototype system to extract and recognize handwritten information in a traffic ticket, and thereafter feeds them into a database of registered cars for further processing. Each extracted information consists either of handwritten isolated Arabic digits or tick mark “x”. The ticket form is designed in such a way to facilitate the extraction process. For each input, the output of the recognition module is a probabilistic value that indicates the system confidence of the correct pattern class. If the probabilistic output is less than the determined threshold, the system requests assistance from the user to identify the input pattern. This feature is necessary in order to avoid feeding in wrong information to the database, such as associating the traffic ticket with the wrong registered car.

Keywords

Recognition Rate Number Plate Recognition Module High Recognition Rate Annotation Bibliography 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Nabeel Murshed
    • 1
  1. 1.Intelligent Information SystemsA Pattern Recognition and Information Technology CompanyDubaiUnited Arab Emirates

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