Abstract
Most current thinning algorithms use only small windows (templates) due to the heavy computation load associated with large template size. However, the lack of global information leads to severe shape distortion and misclassification. We develop a new variable resolution method to solve this problem. The proposed algorithm, which is parallel in nature, uses a 9 × 9 window with a high resolution 3 × 3 center and low resolution periphery. The resolution is reduced by a ratio of 9:2 in the periphery. Thus the complexity of our method is less than twice that of a method using 4 × 4 windows. Our method resembles the human visual system which has a high resolution fovea and low resolution periphery. The advantage of the proposed algorithm over two well-known algorithms is demonstrated using several input characters.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
