Printed Character Database Analysis Based Printed Document Examination
Yong Fang Yao, Wei Hua Wang, Dongfang Zhang, Hong Yan Guo · Applied Mechanics and Materials · 2013
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.