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.
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© 2002 Springer-Verlag Berlin Heidelberg
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Murshed, N. (2002). Automatic Reading of Traffic Tickets. In: Lopresti, D., Hu, J., Kashi, R. (eds) Document Analysis Systems V. DAS 2002. Lecture Notes in Computer Science, vol 2423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45869-7_9
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DOI: https://doi.org/10.1007/3-540-45869-7_9
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