@inproceedings{scholars7180,
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings},
            year = {2016},
           pages = {321--325},
             doi = {10.1109/ICSIPA.2015.7412212},
           title = {Combined geometric and texture features for face recognition},
            note = {cited By 0; Conference of 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 ; Conference Date: 19 October 2015 Through 21 October 2015; Conference Code:119504},
          author = {Ali, A. S. O. and Asirvadam, V. S. and Malik, A. S. and Aziz, A. and Dass, S. C.},
        keywords = {Database systems; Geometry; Image processing; Lighting; Photographic accessories; Photography; Terrorism; Textures, Database modeling; Face database; Facial Expressions; Facial recognition; geometric; Photographic image; Photographic quality; terrorists, Face recognition},
            isbn = {9781479989966},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971657209&doi=10.1109\%2fICSIPA.2015.7412212&partnerID=40&md5=30c2ac12fba642aa7efa793122a39700},
        abstract = {Up to the present moment, there is lacking a suitable database for the purpose of research into the field of facial recognition to combat terrorism and acts of violence. As far as we know, there are no databases in existence that is publicly available and specifically incorporates photographic images of fugitive criminals and dangerous individuals. With aim to aid the afore-mentioned research effort, this work sets out to present a solution with the formation of a visual database of faces known as "Faces of the most wanted list". The current work's database model is expected to demonstrate holistic variations involving lighting effects, pose, focus, resolution, facial expression, age, ethnicity, gender, accessories, make-up, photographic quality, occlusions and background. The prevailing fugitive face database model incorporates lighting effects, pose, focus, resolution, facial expression, age, ethnicity, gender, accessories, make-up, photographic quality, occlusions and background. In addition to outlining the specifics of the database, presented in this work a system that combines geometric and texture facial features is proposed and tested over our new database. {\^A}{\copyright} 2015 IEEE.}
}