Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/394946| Title: | Hybrid of HMM and Fuzzy Logic for handwritten character recognition |
| Authors: | Azizah Suliman Asma Shakil Md. Nasir Sulaiman Rahmita Wirza Mohamed Othman |
| Conference Name: | International Symposium on Information Technology |
| Keywords: | Hybrid of HMM Fuzzy Logic Handwritten character |
| Conference Date: | 26/08/2008 |
| Conference Location: | Kuala Lumpur Convention Centre |
| Abstract: | This paper presents a hybrid approach of HMM and Fuzzy Logic in the field of handwritten character recognition. Fuzzy Logic is used in the recognition phase while HMM is used in the process of extracting features for the preparation of linguistic variables of the fuzzy rules. Experimental results from a few sample images give a reasonable recognition rate on a more challenging database of lower-case handwritten characters. This proved the proposed hybrid of the two techniques are compatible and can be used to complement each other effectively. |
| Pages: | 7 |
| Call Number: | T58.5.C634 2008 kat sem j.2 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US |
| Appears in Collections: | Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.