Handwriting recognition using webcam for data entry
This paper presents the development of a system that is robust enough to recognize numerical handwritings with the lowest error. The first test was done with a neural network trained with only the Character Vector Module as its feature extraction method. A result that is far below the set point of t...
| Main Authors: | Xiang, W.Y., Sebastian, P. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31526 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957893479&doi=10.1109%2fCSPA.2015.7225626&partnerID=40&md5=a373adbab412189af38fa62f94e1baab http://eprints.utp.edu.my/31526/ |
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