Face Based Gender Classification Using COSFIRE Filter
| Author(s) | : | Mohamad Idris Wani, Bareen Farooqi, Nida Wani, Haider Mehraj, Farkhanda Ana |
| Institution | : | Department of Electronics and Communication, School of Engineering and Technology, Baba Ghulam Shah Badshah University, Rajouri-185234, J&K |
| Published In | : | Vol. 5, Issue 13 — January 2018 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
One of the most important factors influencing the social activities of a human is his/her gender. Due theimportance of a person’s gender, we present a study and analysis of a gender classification based on human face. Genderclassification from facial images has numerous applications and can be used in marketing, retail advertising and securitysystems. We propose a novel system for classifying the gender of a person from face. For face we propose a descriptor basedon COSFIRE filter.Artificial Neural Networks are information processing systems with certain characteristics similar to theworking of a human neuron and unlike conventional machines it learns by example and not by an algorithmic approach andArtificial Neural Network has been used as the classification model. We demonstrate the effectiveness of the proposedapproach on a dataset of GENDER-FERETdataset and achieve an accuracy of about 89%.
Mohamad Idris Wani, Bareen Farooqi, Nida Wani, Haider Mehraj, Farkhanda Ana, “Face Based Gender Classification Using COSFIRE Filter”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 13, pp. -, January 2018.
