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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340951/ http://dx.doi.org/10.1007/978-3-030-51935-3_25 |
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author | Gattal, Abdeljalil Djeddi, Chawki Bensefia, Ameur Ennaji, Abdellatif |
author_facet | Gattal, Abdeljalil Djeddi, Chawki Bensefia, Ameur Ennaji, Abdellatif |
author_sort | Gattal, Abdeljalil |
collection | PubMed |
description | 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 SVM classifier combination decides the assigned class based on the maximum of the two decisions values resulting from COLD and Hinge feature. The proposed approach is evaluated on the standard QUWI dataset and following the framework protocol described in the ICFHR 2016 competition. Obtained results are promising regarding the classification rates announced in the literature. |
format | Online Article Text |
id | pubmed-7340951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73409512020-07-08 Handwriting Based Gender Classification Using COLD and Hinge Features Gattal, Abdeljalil Djeddi, Chawki Bensefia, Ameur Ennaji, Abdellatif Image and Signal Processing Article 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 SVM classifier combination decides the assigned class based on the maximum of the two decisions values resulting from COLD and Hinge feature. The proposed approach is evaluated on the standard QUWI dataset and following the framework protocol described in the ICFHR 2016 competition. Obtained results are promising regarding the classification rates announced in the literature. 2020-06-05 /pmc/articles/PMC7340951/ http://dx.doi.org/10.1007/978-3-030-51935-3_25 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Gattal, Abdeljalil Djeddi, Chawki Bensefia, Ameur Ennaji, Abdellatif Handwriting Based Gender Classification Using COLD and Hinge Features |
title | Handwriting Based Gender Classification Using COLD and Hinge Features |
title_full | Handwriting Based Gender Classification Using COLD and Hinge Features |
title_fullStr | Handwriting Based Gender Classification Using COLD and Hinge Features |
title_full_unstemmed | Handwriting Based Gender Classification Using COLD and Hinge Features |
title_short | Handwriting Based Gender Classification Using COLD and Hinge Features |
title_sort | handwriting based gender classification using cold and hinge features |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340951/ http://dx.doi.org/10.1007/978-3-030-51935-3_25 |
work_keys_str_mv | AT gattalabdeljalil handwritingbasedgenderclassificationusingcoldandhingefeatures AT djeddichawki handwritingbasedgenderclassificationusingcoldandhingefeatures AT bensefiaameur handwritingbasedgenderclassificationusingcoldandhingefeatures AT ennajiabdellatif handwritingbasedgenderclassificationusingcoldandhingefeatures |