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Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 17, Volume 6, Issue 3, 2009, Pages 211-226 PDF (538.23 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2009.163834 | ||
| Authors | ||
| Mohammed Z. Khedher1; Ghayda A.A. Al-Talib2; Shayma M. Al mashhadany2 | ||
| 1Faculty of Engineering and Technology Jordan University | ||
| 2College of Computer Sciences and Mathematics University of Mosul | ||
| Abstract | ||
| A fuzzy system for handwritten numerals recognition using a fuzzy Hough transform technique is presented. The system is an off-line system since the data processed was written before the time of recognition. A data base of 480 patterns of unconstrained (free) handwritten numerals was used in the proposed system. Membership values are determined as fuzzy sets which are defined on the standard Hough transform vector. Manhattan distance measurement has been used to measure the similarity of an input feature vector to a number of numeral pattern classes. The overall recognition accuracy of the system for the ten numerals is 95%. | ||
| Keywords | ||
| Character Recognition; fuzz logic; Hough transform | ||
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