Title :
Scraps of paper restoration design fuzzy pattern recognition and matching based on strokes
Author_Institution :
North China Electr. Power Univ., Baoding, China
Abstract :
The essay talks about using the fuzzy model recognition and strokes matched ways in splicing in regular fragment papers which is made by shredder, and checking its correctness by strokes matched ways. Realize this splicing work by using MATLAB. The results show that the scraps of paper in the case of only crosscutting (longitudinal cut), may recover fully stitching and intelligent high; In the case of both cross cut and longitudinal cut can realize most of the recovery with high intelligence. Provide strong support for the important documents after damage repair.
Keywords :
document image processing; fuzzy set theory; image matching; MATLAB; cross cut; crosscutting; damage repair; documents; fuzzy model recognition; longitudinal cut; paper restoration design fuzzy pattern matching; paper restoration design fuzzy pattern recognition; regular fragment papers splicing; Automation; Instrumentation and measurement; MATLAB; Mathematical model; Pattern recognition; Splicing; Symmetric matrices; fragment splicing restoration; fuzzy model recognition; strokes matched;
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
DOI :
10.1109/IMSNA.2013.6743297
