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《Science Technology and Engineering》 2006-10
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An Efficient Thinning Algorithm based on Borderline

LIU Yunfei, LI Lijuan * (College of Computer and Communication, Hunan University, Changsha 410082)  
Thinning character images can greatly eliminate redundancy within image information, so that simplifying character recognition extraction process, and enhancing the accuracy and speed of character recognition by a long way. How to make thinning is the prerequisite of character recognize. Upon that a novel thinning algorithm based on borderline is proposed which treats with individual pixel point in each step and picks up unilateral edge points sequence as the framework of character image. Also, simulation results prove it can hold the basic information of character images better and can wipe off the redundancy pixel points of character images which solve the problem of intersection separates and the problem of shortened stroke segments. Furthermore it provides an efficient method to compartmentalize connective strokes. To sum up, the algorithm achieves good thinning results.
【CateGory Index】: TP391.41
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