Writer independent online handwritten character recognition using a simple approach
This study describes the simple approach involved in online handwriting recognition. Conventionally, the data obtained needs a lot of preprocessing including filtering, smoothing, slant removing and size normalization before recognition process. Instead of doing such lengthy preprocessing, this stud...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2006
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/8756/1/ITJ-v5-n3.pdf |
| _version_ | 1825910248251064320 |
|---|---|
| author | Zafar, Muhammad Faisal Mohamad, Dzulkifli Othman, Muhamad Razib |
| author_facet | Zafar, Muhammad Faisal Mohamad, Dzulkifli Othman, Muhamad Razib |
| author_sort | Zafar, Muhammad Faisal |
| collection | ePrints |
| description | This study describes the simple approach involved in online handwriting recognition. Conventionally, the data obtained needs a lot of preprocessing including filtering, smoothing, slant removing and size normalization before recognition process. Instead of doing such lengthy preprocessing, this study presents a simple approach to extract the useful character information. The whole process requires no preprocessing and size normalization. This research evaluates the use of the Back-propagation Neural Network (BPN) and presents feature extraction mechanism in full detail to work with on-line handwriting recognition. The obtained recognition rates were 51 to 83% using the BPN for different sets of character samples. This study also describes a performance study in which a recognition mechanism with multiple thresholds is evaluated for back-propagation architecture. The results indicate that the application of multiple thresholds has significant effect on recognition mechanism. This is a writer-independent system and the method is applicable for off-line character recognition as well. The technique is tested for upper-case English alphabets for a number of different styles from different subjects. |
| first_indexed | 2024-03-05T18:14:15Z |
| format | Article |
| id | utm.eprints-8756 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:14:15Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | utm.eprints-87562017-10-23T08:11:05Z http://eprints.utm.my/8756/ Writer independent online handwritten character recognition using a simple approach Zafar, Muhammad Faisal Mohamad, Dzulkifli Othman, Muhamad Razib QA75 Electronic computers. Computer science This study describes the simple approach involved in online handwriting recognition. Conventionally, the data obtained needs a lot of preprocessing including filtering, smoothing, slant removing and size normalization before recognition process. Instead of doing such lengthy preprocessing, this study presents a simple approach to extract the useful character information. The whole process requires no preprocessing and size normalization. This research evaluates the use of the Back-propagation Neural Network (BPN) and presents feature extraction mechanism in full detail to work with on-line handwriting recognition. The obtained recognition rates were 51 to 83% using the BPN for different sets of character samples. This study also describes a performance study in which a recognition mechanism with multiple thresholds is evaluated for back-propagation architecture. The results indicate that the application of multiple thresholds has significant effect on recognition mechanism. This is a writer-independent system and the method is applicable for off-line character recognition as well. The technique is tested for upper-case English alphabets for a number of different styles from different subjects. 2006 Article PeerReviewed application/pdf en http://eprints.utm.my/8756/1/ITJ-v5-n3.pdf Zafar, Muhammad Faisal and Mohamad, Dzulkifli and Othman, Muhamad Razib (2006) Writer independent online handwritten character recognition using a simple approach. Information Technology Journal, 5 (3). pp. 476-484. ISSN 1812-5638 http://www.ansijournals.com/itj/2006/476-484.pdf doi:10.3923/itj.2006.476.484 |
| spellingShingle | QA75 Electronic computers. Computer science Zafar, Muhammad Faisal Mohamad, Dzulkifli Othman, Muhamad Razib Writer independent online handwritten character recognition using a simple approach |
| title | Writer independent online handwritten character recognition using a simple approach |
| title_full | Writer independent online handwritten character recognition using a simple approach |
| title_fullStr | Writer independent online handwritten character recognition using a simple approach |
| title_full_unstemmed | Writer independent online handwritten character recognition using a simple approach |
| title_short | Writer independent online handwritten character recognition using a simple approach |
| title_sort | writer independent online handwritten character recognition using a simple approach |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/8756/1/ITJ-v5-n3.pdf |
| work_keys_str_mv | AT zafarmuhammadfaisal writerindependentonlinehandwrittencharacterrecognitionusingasimpleapproach AT mohamaddzulkifli writerindependentonlinehandwrittencharacterrecognitionusingasimpleapproach AT othmanmuhamadrazib writerindependentonlinehandwrittencharacterrecognitionusingasimpleapproach |