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2016 | 5 | 2 | 248-259

Article title

GENDER RECOGNIOTION METHODS USEFUL IN MOBILE AUTHENTICATION APPLICATIONS

Content

Title variants

Languages of publication

EN

Abstracts

EN
Soft biometrics methods that involve gender, age and ethnicity are still developed. Face recognition methods often rely on gender recognition. The same applies to the methods reconstructing the faces or building 2D or 3D models of the faces. In the paper, we conduct study on different set of gender recognition methods and their mobile applications. We show the advantages and disadvantages of that methods and future challenges to the researches. In the previous papers, we examined a range variety of skin detection methods that help to spot the face in the images or video stream. On acquiring faces, we focus on gender recognition that will allow us to create pattern to build 2D and 3D automatic faces models from the images. That will result also in face recognition and authentication, also.

Year

Volume

5

Issue

2

Pages

248-259

Physical description

Dates

published
2016

Contributors

author
  • Department of Computer Science, Faculty of Physics and Applied Informatics, University of Lodz, Poland
  • Department of Computer Science, Faculty of Physics and Applied Informatics, University of Lodz, Poland

References

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Document Type

Publication order reference

Identifiers

ISSN
2084-5537

YADDA identifier

bwmeta1.element.desklight-d30f7e42-108a-484e-86ec-8b711257a84d
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