Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform
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 pro...
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| Format: | Article |
| Language: | English |
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Mosul University
2009-09-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163834_fb7610d8f21544f56dd233a469c508e2.pdf |
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| _version_ | 1849727938851766272 |
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| author | Mohammed Khedher Ghayda Al-Talib Shayma Al mashhadany |
| author_facet | Mohammed Khedher Ghayda Al-Talib Shayma Al mashhadany |
| author_sort | Mohammed Khedher |
| collection | DOAJ |
| description | 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%. |
| format | Article |
| id | doaj-art-9f1e8dec5466474697bc7ae03e94208a |
| institution | DOAJ |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2009-09-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-9f1e8dec5466474697bc7ae03e94208a2025-08-20T03:09:43ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902009-09-016321122610.33899/csmj.2009.163834163834Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough TransformMohammed Khedher0Ghayda Al-Talib1Shayma Al mashhadany2Faculty of Engineering and Technology Jordan UniversityCollege of Computer Sciences and Mathematics University of MosulCollege of Computer Sciences and Mathematics University of MosulA 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%.https://csmj.mosuljournals.com/article_163834_fb7610d8f21544f56dd233a469c508e2.pdfcharacter recognitionfuzz logichough transform |
| spellingShingle | Mohammed Khedher Ghayda Al-Talib Shayma Al mashhadany Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform Al-Rafidain Journal of Computer Sciences and Mathematics character recognition fuzz logic hough transform |
| title | Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform |
| title_full | Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform |
| title_fullStr | Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform |
| title_full_unstemmed | Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform |
| title_short | Off-line Recognition of Unconstrained Handwritten Numerals Using Fuzzy Hough Transform |
| title_sort | off line recognition of unconstrained handwritten numerals using fuzzy hough transform |
| topic | character recognition fuzz logic hough transform |
| url | https://csmj.mosuljournals.com/article_163834_fb7610d8f21544f56dd233a469c508e2.pdf |
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