Age Group and Gender Classification Using Convolutional Neural Networks With a Fuzzy Logic-Based Filter Method for Noise Reduction
Yazarlar (4)
Ali Tunç Konya Rd Center, Türkiye
Prof. Dr. Şakir TAŞDEMİR Selçuk Üniversitesi, Türkiye
Doç. Dr. Murat Köklü Selçuk Üniversitesi, Türkiye
Doç. Dr. Ahmet Cevahir Çınar Selçuk Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Intelligent and Fuzzy Systems (Q4) | ||
| Dergi ISSN | 1064-1246 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2022 |
| Cilt / Sayı / Sayfa | 42 / 1 / 491–501 | DOI | 10.3233/JIFS-219206 |
| Makale Linki | http://dx.doi.org/10.3233/jifs-219206 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| Biometry is the science that enables living things to be distinguished by examining their physical and behavioral characteristics. The facial recognition system (FCS) is a kind of biometric system. FCS provides a unique mathematical model by determining the distance between the cheekbones, chin, nose, eyes, jawline, and similar positions using the facial features of the persons. Determining the gender and age group of chosen persons’ from face images is the main purpose of this study. It is targeted to distinguish the gender of the person and to obtain information about the person is children or adults by making essential works on the images. Convolutional neural network (CNN) is one of the deep face recognition algorithms that widely used to recognize facial images. This study is suggested as a study that detects noise in images using the fuzzy logic-based filter method and classifies this cleared data by gender … |
| Anahtar Kelimeler |
| Age classification | convolutional neural network | deep learning | fuzzy logic | gender classification |
