Scopus
YÖKSİS Eşleşti
Age group and gender classification using convolutional neural networks with a fuzzy logic-based filter method for noise reduction
Journal of Intelligent and Fuzzy Systems · Ocak 2021
YÖKSİS Kayıtları
Age Group and Gender Classification Using Convolutional Neural Networks With a Fuzzy Logic-Based Filter Method for Noise Reduction
Journal of Intelligent & Fuzzy Systems · 2022 SCI-Expanded
DOÇENT AHMET CEVAHİR ÇINAR →
Age Group and Gender Classification Using Convolutional Neural Networks With a Fuzzy Logic-Based Filter Method for Noise Reduction
Journal of Intelligent & Fuzzy Systems · 2022 SCI-Expanded
DOÇENT MURAT KÖKLÜ →
Age group and gender classification using convolutional neural networks with a fuzzy logic-based filter method for noise reduction
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS · 2022 SCI
PROFESÖR ŞAKİR TAŞDEMİR →
Age Group and Gender Classification Using Convolutional Neural Networks With a Fuzzy Logic-Based Filter Method for Noise Reduction
Journal of Intelligent & Fuzzy Systems · 2022 SCI-Expanded
PROFESÖR ŞAKİR TAŞDEMİR →
Age group and gender classification using convolutional neural networks with a fuzzy logic-based filter method for noise reduction
Journal of Intelligent & Fuzzy Systems · 2022 SCI-Expanded
PROFESÖR ŞAKİR TAŞDEMİR →
Makale Bilgileri
DergiJournal of Intelligent and Fuzzy Systems
Yayın TarihiOcak 2021
Cilt / Sayfa42 · 491-501
Scopus ID2-s2.0-85168750691
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 using the matrix completion and CNN. TensorFlow which is a machine learning library that used to train and tests deep learning methods is used for experiments. The customer photographs taken during using the system are transformed into a matrix expression through a system trained using this algorithm. The obtained results indicated that the offered technique detects age and gender with a 96% accuracy value and 1.145 seconds time.
Yazarlar (4)
1
Ali Tunc
2
Şakir Taşdemir
3
Murat Koklu
ORCID: 0000-0002-2737-2360
4
Ahmet Cevahir Cinar
Anahtar Kelimeler
Age classification
convolutional neural network
deep learning
fuzzy logic
gender classification
Kurumlar
Konya RD Center
Konya Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
1
Atıf
4
Yazar
5
Anahtar Kelime