Abstract
In this paper a particular emphasis is given on developing a character recognition system using SciLab, a free and open source computing software and is most promising alternative to MatLab.In the proposed work a character recognition system to extract printed text from an image is developed using Kohenen self organizing maps (SOM) based retrieval system. SOM being an unsupervised method of training has a superior feature extracting property. Samples of same characters which are oriented at same angle but with different size, color and fonts are used. After calculation of certain topological and geometrical properties of a character it is classified and recognized. With self organizing map together with K means clustering algorithm using SciLab software, the system has achieved a remarkable accuracy of 99% to 100%, when tested for various text input images.
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.
