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Transgender Face Recognition using ROI based Convolutional Neural Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 8 |
| Year of Publication: 2021 |
| Authors: R. Bhuvaneswari, S. Ganesh Vaidyanathan |
10.5120/ijca2021921360
|
R. Bhuvaneswari, S. Ganesh Vaidyanathan . Transgender Face Recognition using ROI based Convolutional Neural Network. International Journal of Computer Applications. 183, 8 ( Jun 2021), 1-4. DOI=10.5120/ijca2021921360
Abstract
This framework deals with a distinct problem domain where face recognition is performed for individuals who have undergone gender transformation over a period of time. The recognition rate of face recognition stands a major challenge in dealing with the pictures or video frames of transgender individuals. Typically the sexual orientation change causes serious modifications in the actual appearance of the face just as in the body of a transgender individual. Therefore, it presents extra complexity / burden in taking care of the accuracy as far as transsexual face acknowledgement. Subsequently, there is a requirement for face recognition framework to reliably distinguish the people after they go through sex change. As Convolutional Neural Network (CNN) has demonstrated to be one of the powerful tool in dealing with feature extraction in images, a new framework is presented which uses CNN to increase the recognition rate in transgender images. The proposed model extracts the features of transgender’s face components such as two eyes, nose and mouth using CNN. The CNN have been utilized in the proposed model. The investigations were done on HRT transsexual database.
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