| Autor: |
Preethi, K. V. Madhu, Rani, D. Jenila |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2587 Issue 1, p1-8, 8p |
| Abstrakt: |
The aim of this study is to provide the blind with a reader and predict the canny edge image value more accurately using the Tesseract algorithm which influences the audio output. Canny edge image samples were collected considering the study group as Tesseract algorithm (N = 80) and control group as stroke width algorithm (N = 80). Canny edge image value was evaluated by using SPSS software for both the groups by using standard protocolComparison of output for canny edge image value was done by an independent sample T-test using SPSS software. Tesseract algorithm appears to be statistically significant (p = 0.00, p < 0.05) when compared to the Stroke width algorithm. Novel Tesseract algorithm appears to show better results with high canny edge image value when compared to Stroke width algorithm which can be further used in assistive technology. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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