Printed Character Database Analysis Based Printed Document Examination

Yong Yao; Wei Hua Wang; Dong Fang Zhang; Hong Yan Guo

doi:10.4028/www.scientific.net/AMM.411-414.1260

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Printed Character Database Analysis Based Printed...

Printed Character Database Analysis Based Printed Document Examination

Abstract:

This paper presented a study on printed character database image analysis based printed document examination in purpose of identifying the printer which created a suspect printed document. It was composed of printed document image acquisition, image pre-processing, feature extraction and classifier. After characters are extracted and recognized in pre-processing, stroke feature sequence of each text block are calculated, and the HU moments of the sequence are also calculated. Finally, the Euclid distance classifier and MQDF classifier are used to recognize the fonts using the above two kind of font feature respectively. Experiments are carried out in a database including 40 LaserJet printers. The experimental results demonstrate the effectiveness of the proposed method.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1260-1266

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1260

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Online since:

September 2013

Authors:

Yong Yao, Wei Hua Wang, Dong Fang Zhang, Hong Yan Guo

Keywords:

Chinese Font Recognition, HU Moment Feature, MQDF, Printed Document Examination

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References

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