Journal ArticleDOI
Label propagation approach for predicting missing biographic labels in face-based biometric records
Thomas Swearingen,Arun Ross +1 more
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TLDR
This work proposes the use of a graph structure to model the relationship between the biometric records in a database and shows the benefits of such a graph in deducing biographic labels of incomplete records, i.e. records that may have missing biographic information.Abstract:
A biometric system uses the physical or behavioural attributes of a person, such as face, fingerprint, iris or voice, to recognise an individual. Many operational biometric systems store the biographic information of an individual, viz., name, gender, age and ethnicity, besides the biometric data itself. Thus, the biometric record pertaining to an individual consists of both biometric data and biographic data. We propose the use of a graph structure to model the relationship between the biometric records in a database. We show the benefits of such a graph in deducing biographic labels of incomplete records, i.e. records that may have missing biographic information. In particular, we use a label propagation scheme to deduce missing values for both binary-valued biographic attributes (e.g. gender) as well as multi-valued biographic attributes (e.g. age group). Experimental results using face-based biometric records consisting of name, age, gender and ethnicity convey the pros and cons of the proposed method.read more
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Journal ArticleDOI
A comprehensive overview of biometric fusion
TL;DR: A comprehensive review of techniques incorporating ancillary information in the biometric recognition pipeline is presented in this paper, where the authors provide a comprehensive overview of the role of information fusion in biometrics.
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression.
Karl Ricanek,Tamirat Tesafaye +1 more
TL;DR: It is concluded that the problem of age-progression on face recognition (FR) is not unique to the algorithm used in this work, and the efficacy of this algorithm is evaluated against the variables of gender and racial origin.
Posted Content
A Comprehensive Overview of Biometric Fusion
TL;DR: The purpose of this article is to provide readers a comprehensive overview of the role of information fusion in biometrics with specific focus on three questions: what to fusion, when to fuse, and how to fuse.
Journal ArticleDOI
FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers
TL;DR: Wang et al. as discussed by the authors proposed stacking a diverse set of SAN models to compensate each other's weaknesses, thereby forming a robust model with improved generalization capability, which enables SANs to generalize to multiple gender classifiers.
Proceedings ArticleDOI
Real-Time Eye-Gaze Based Interaction for Human Intention Prediction and Emotion Analysis
TL;DR: The methodology analyzes human emotion and cognition status from the aspect of eye-gaze behavior and head motion, understands the cognitive information that human eyes can express, and effectively improves the efficiency of human-computer interaction in different circumstances.
References
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Journal ArticleDOI
Matching Composite Sketches to Face Photos: A Component-Based Approach
TL;DR: This paper proposes a component-based representation (CBR) approach to measure the similarity between a composite sketch and mugshot photograph and believes its prototype system will be of great value to law enforcement agencies in apprehending suspects in a timely fashion.
Journal ArticleDOI
A review of name-based ethnicity classification methods and their potential in population studies
TL;DR: Several approaches have been proposed to classify populations into ethnic groups using people's names, as an alternative to ethnicity self-identification information when this is not available as discussed by the authors, and a systematic review has been conducted of the most representative studies that develop new name-based ethnicity classifications, extracting methodological commonalities, achievements and shortcomings.
Journal ArticleDOI
Learning Race from Face: A Survey
Siyao Fu,Haibo He,Zeng-Guang Hou +2 more
TL;DR: This survey provides a comprehensive and critical review of the state-of-the-art advances in face-race perception, principles, algorithms, and applications and discusses race perception problem formulation and motivation, while highlighting the conceptual potentials of racial face processing.
Journal ArticleDOI
Clustering Millions of Faces by Identity
TL;DR: In this paper, an approximate Rank-Order clustering algorithm was proposed to address the challenges of run-time complexity and cluster quality, which achieves an F-measure of 0.87 on the LFW benchmark (13 K faces of 5,749 individuals).
Book ChapterDOI
Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition
TL;DR: A hybrid biometric system that uses face and fingerprint as the primary characteristics and gender, ethnicity, and height as the soft characteristics and results indicate that such a performance improvement can be achieved only if the soft biometric traits are complementary to the primaryBiometric traits.