Fuzzy Based Noise Removal, Age Group and Gender Prediction with CNN
Yazarlar (1)
Prof. Dr. Şakir TAŞDEMİR Sinop Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | |||
| DOI Numarası | 10.1007/978-3-030-51156-2_25 | ||
| Kongre Adı | Advances in Intelligent Systems and Computing | ||
| Kongre Tarihi | / | ||
| Basıldığı Ülke | Basıldığı Şehir | ||
| Bildiri Linki | https://link.springer.com/chapter/10.1007/978-3-030-51156-2_25 | ||
| UAK Araştırma Alanları |
Mühendislik
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| Özet |
| Facial recognition systems, which are a type of biometric systems, use the person’s facial features to identify people, and determine the information in the position between the eyes, nose, cheekbones, jawline, chin and the like and reveal a personal numerical model. The main purpose of this study is to determine the gender and age group of a selected image. By making necessary studies on the image, it is aimed to separate the gender of the person and to extract child or adult information. This study is proposed as research that performs noise reduction using the fuzzy logic fire filter algorithm and classifies the result by gender using a convolutional neural network (CNN), matrix completion and deep learning techniques. CNN algorithm, which is one of the deep facial recognition algorithms that can be used in the recognition of facial images, is the algorithm used in the study. In this study, the data obtained after the … |
| Anahtar Kelimeler |
| Age classification | CNN | Deep learning | Fuzzy logic | Gender predict | Image processing |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 3 |