Title :
Laser Printer Fuzzy Identification Based on Correlative Specific Area of Character Image
Author :
Wang, Ning ; Han, Guo-qiang
Abstract :
The type of printer needs to be identified in many cases as evidence. This paper proposed a new method to identify the type of Laser printer according to the feature of printed character image. Character image is segmented into 16 equal-area quadrate sections. Specific area is the ratio of the area of strokes of whole character to the area of character image or is the ratio of the area of strokes of section to the area of section. As the eigenvalue of printed character image, the specific area is relatively constant and structural feature of character image. According to specific area, the correlation coefficient of printed character images is calculated. It is used to evaluate the similarity of standard and identified character image. With the correlation coefficient, the type of laser printer is got by Fuzzy synthetic evaluation .The result of experiment showed that this method is accurate and effective.
Keywords :
Computational intelligence; Computer science; Computer security; Eigenvalues and eigenfunctions; Feature extraction; Image processing; Image segmentation; Laser modes; Laser theory; Printers;
Conference_Titel :
Computational Intelligence and Security, 2007 International Conference on
Conference_Location :
Harbin, China
Print_ISBN :
0-7695-3072-9
Electronic_ISBN :
978-0-7695-3072-7
DOI :
10.1109/CIS.2007.35