Abstract
This paper presents a multilayer perceptron which approximates the distance transform of 2D images, specifically capital vowels. Approximation of images' distance transforms are used with the purpose of fast recalling in well handwritten capital vowels within a square of 64 /spl times/ 64 pixels. An architecture that has both fast training and good approximation of distance transform is described. Possible improvements for further research are described too.
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.
