Automated Detection of Dyslexia Symptom Based on Handwriting Image for Primary School Children
This paper presents an automated detection system to identify the present of dyslexia symptoms in primary school children based on their handwriting images. The proposed automated detection system is developed by using pattern recognition technique. Based on their handwriting images, the pattern rec...
| 出版年: | Procedia Computer Science |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Elsevier B.V.
2019
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081159240&doi=10.1016%2fj.procs.2019.12.127&partnerID=40&md5=d2ee1dce6d929e87d8f5cef3ddd59223 |