Scopus
New approaches to determine age and gender in image processing techniques using multilayer perceptron neural network
Applied Soft Computing Journal · Eylül 2018
Makale Bilgileri
DergiApplied Soft Computing Journal
Yayın TarihiEylül 2018
Cilt / Sayfa70 · 157-168
Scopus ID2-s2.0-85047418239
Özet
As a result of some events (disasters, inheritance, disappearances etc.), age and gender determination can be vital for people. Forensic medical institutions make the determination of age by examining the structures such as teeth and bones. Procedures for forensic science are currently estimated manually according to certain morphological findings on the tooth. In this study, 1313 panoramic dental images were used automatically to estimate age. Image preprocessing is applied on these images. Trapezoidal teeth are corrected in the coordinate plane to obtain more accurate and standard results. In the study, the correction process is done with original and novel developed algorithm. Dental images are automatically and dynamically segmented and feature vectors are created by extracting their features. The generated feature vectors are dynamic and presented as inputs to the Multilayer Perceptron Neural Network. Depending on the request, the number of input count reduction process can be performed. In this study, age and gender were determined from dental x-ray images with novel and originally developed algorithm. The application is written in C # programming language. In some tooth groups, the highest classification rate of 100% and age determination with 0 error were performed. With this study, age determination in forensic science will be more accurate.
Yazarlar (2)
1
Emre Avuçlu
2
Fatih Başçiftçi
Anahtar Kelimeler
Age and gender estimation
Backpropagation algorithm
Image processing techniques
Multi-layer perceptron
Panoramic dental images
Kurumlar
Aksaray Üniversitesi
Aksaray Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
19
Atıf
2
Yazar
5
Anahtar Kelime