title: Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers.
abstract: Biometrics is the technique of automatically recognizing individuals based on their biological or behavioral characteristics. Various biometric traits have been introduced and widely investigated, including fingerprint, iris, face, voice, palmprint, gait and so forth. Apart from identity, biometric data may convey various other personal information, covering affect, age, gender, race, accent, handedness, height, weight, etc. Among these, analysis of demographics (age, gender, and race) has received tremendous attention owing to its wide real-world applications, with significant efforts devoted and great progress achieved. This survey first presents biometric demographic analysis from the standpoint of human perception, then provides a comprehensive overview of state-of-the-art advances in automated estimation from both academia and industry. Despite these advances, a number of challenging issues continue to inhibit its full potential. We second discuss these open problems, and finally provide an outlook into the future of this very active field of research by sharing some promising opportunities.
authors.forename: Yunlian
authors.initials: Y
authors.lastname: Sun
authors.forename: Man
authors.initials: M
authors.lastname: Zhang
authors.forename: Zhenan
authors.initials: Z
authors.lastname: Sun
authors.forename: Tieniu
authors.initials: T
authors.lastname: Tan
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D056667:Biometric Identification / Q000379:methods*; D003710:Demography / Q000379:methods*; D004562:Electrocardiography; D005145:Face / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D007498:Iris / Q000000981:diagnostic imaging; D000069550:Machine Learning; D008297:Male; D008875:Middle Aged; D044469:Racial Groups / Q000145:classification; D012732:Sex Determination Analysis; D055815:Young Adult