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Study on Key Techniques of Dynamic Text Recognition System

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DOI: 10.23977/msmee.2018.72128

Author(s)

Chengxin Yan

Corresponding Author

Chengxin Yan

ABSTRACT

Key techniques on dynamic text recognition system are studied in this paper. Rectangularization algorithm is adopted for text localization. Vertical projection based on a priori knowledge is used to achieve twice character segmentation. Coarse mesh feature and 13-point features are used and support vector machine is adopted as the final classifier. A dynamic text recognition system is developed on the basis of those key techniques and can be used to logistics, banking, postal and other similar areas.

KEYWORDS

Dynamic text, feature extraction, text recognition

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