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Handwriting Based Gender Classification Using COLD and Hinge Features
Gender Classification from handwriting is still considered to be challenging due to homogeneous vision comparing male and female handwritten documents. This paper presents a new method based on Cloud of Line Distribution (COLD) and Hinge feature for distinguishing the gender from handwriting. The SV...
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| Опубликовано в: : | Image and Signal Processing |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7340951/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-51935-3_25 |
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