Gender classification using a PSO-based feature selection and optimised BPNN in forensic anthropology

• Main Authors: Hairuddin, Nurul Liyana, Yusuf, Lizawati Mi, Othman, Mohd. Shahizan, Nasien, Dewi
• Format: Article
• Published: Inderscience Publishers 2021
• Subjects: QA75 Electronic computers. Computer science; T58.5-58.64 Information technology
• Online Access: http://eprints.utm.my/id/eprint/26635/; http://dx.doi.org/10.1504/IJCAET.2021.117133

Gender classification is a crucial task in most forensic cases.In most cases, skeleton remains are employed and there are different parts of human skeleton available for the classification process.Every part of skeleton contains different types of features which benefits toward gender classification...