Abstract
This paper studied the application of OCR post-processing techniques in Real estate transactions registration and proposed a dictionary-based post-processing method. This paper introduced briefly the design of database and post-processing program of this system. Average accuracy rate was enhanced largely compared to that of pretreatment when the system conducted models test. The experimental results showed that this model was very practical, and can significantly improve the recognition accuracy rate, which verified the validity of the approach.
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Hu, Z., Lin, J., Wu, L. (2011). Research on OCR Post-processing Applications for Handwritten Recognition Based on Analysis of Scientific Materials. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_22
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DOI: https://doi.org/10.1007/978-3-642-23777-5_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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