Journal ArticleDOI
Integration of multiple soft biometrics for human identification
TLDR
The results show that the proposed framework can be utilized to model an adequate soft biometric system with rank-1 identification rate of 88%.About:
This article is published in Pattern Recognition Letters.The article was published on 2015-12-15. It has received 27 citations till now. The article focuses on the topics: Soft biometrics & Biometrics.read more
Citations
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Journal ArticleDOI
Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation
TL;DR: It is observed that soft biometrics is a valuable complement to the face modality in unconstrained scenarios, with relative improvements up to 40%/15% in the verification performance when using manual/automatic soft biometricrics estimation.
Soft-biometrics : unconstrained authentication in a surveillance environment
TL;DR: In this paper, the authors proposed three part (head, torso, legs) height and colour soft biometric models, and demonstrate their verification performance on a subset of the PETS 2006 database.
Journal ArticleDOI
A spoof resistant multibiometric system based on the physiological and behavioral characteristics of fingerprint
TL;DR: A multimodal system based on two modalities derived from multi instance fingerprint acquisition viz. fingerprint and the associated time dynamics with significant performance improvement over unimodal and multi-instance fingerprint recognition systems is presented.
Journal ArticleDOI
Improving Deep Learning Feature with Facial Texture Feature for Face Recognition
TL;DR: A face recognition based on facial texture feature aided deep learning feature (FTFA-DLF) is proposed in this paper which is able to combine the benefits of deep learning and hand-craft features.
Journal ArticleDOI
Soft biometrics: a survey
TL;DR: The paper presents a detailed analysis on the global traits associated to person identity such as gender, age and ethnicity and a performance analysis of hybrid soft biometrics recognition system using multi-scale criterion.
References
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Journal ArticleDOI
Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
Journal ArticleDOI
Robust Real-Time Face Detection
Paul A. Viola,Michael Jones +1 more
TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.
Journal ArticleDOI
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
TL;DR: A face recognition algorithm which is insensitive to large variation in lighting direction and facial expression is developed, based on Fisher's linear discriminant and produces well separated classes in a low-dimensional subspace, even under severe variations in lighting and facial expressions.
Proceedings ArticleDOI
Robust real-time face detection
Paul A. Viola,Michael Jones +1 more
TL;DR: A new image representation called the “Integral Image” is introduced which allows the features used by the detector to be computed very quickly and a method for combining classifiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions.
Proceedings ArticleDOI
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
TL;DR: This paper presents a method for recognizing scene categories based on approximate global geometric correspondence that exceeds the state of the art on the Caltech-101 database and achieves high accuracy on a large database of fifteen natural scene categories.