caa a22 4500 605541159 CHVBK 20210128100915.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00371-014-0990-x doi (NATIONALLICENCE)springer-10.1007/s00371-014-0990-x Recent advances in facial soft biometrics [Elektronische Daten] [Olasimbo Arigbabu, Sharifah Ahmad, Wan Adnan, Salman Yussof] Face as a biometric attribute has been extensively studied over the past few decades. Even though, satisfactory results are already achieved in controlled environments, the practicality of face recognition in realistic scenarios is still limited by several challenges, such as, expression, pose, occlusion, etc. Recently, the research direction is concentrating on the prospects of complementing face recognition systems with facial soft biometric traits. The ease of extracting facial soft biometrics under several varying conditions has mainly resulted in the ability of using the traits to, either improve the performance of traditional face recognition systems, or performing recognition solely based on many facial soft biometrics. This paper presents state-of-the-art techniques in facial soft biometrics research by describing the type of traits, feature extraction methods, and the application domains. It indicates the most recent and valuable results attained, while also highlighting some possible future scientific research directions to be investigated. Springer-Verlag Berlin Heidelberg, 2014 Face recognition nationallicence Soft biometrics nationallicence Measured descriptor nationallicence Semantic descriptor nationallicence Image retrieval nationallicence Arigbabu Olasimbo Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia aut Ahmad Sharifah Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia aut Adnan Wan Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia aut Yussof Salman Department of Systems and Networking, Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia aut The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 513-525 0178-2789 31:5<513 2015 31 371 https://doi.org/10.1007/s00371-014-0990-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-0990-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Arigbabu Olasimbo Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia aut NATIONALLICENCE 700 1- Ahmad Sharifah Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia aut NATIONALLICENCE 700 1- Adnan Wan Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia aut NATIONALLICENCE 700 1- Yussof Salman Department of Systems and Networking, Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 513-525 0178-2789 31:5<513 2015 31 371