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  • Weighted quasi-arithmetic mean based score level fusion for multi-biometric systems
    IET Biom. (IF 2.092) Pub Date : 2020-04-30
    Herbadji Abderrahmane; Guermat Noubeil; Ziet Lahcene; Zahid Akhtar; Dipankar Dasgupta

    Biometrics is now being principally employed in many daily applications ranging from the border crossing to mobile user authentication. In the high-security scenarios, biometrics require stringent accuracy and performance criteria. Towards this aim, multi-biometric systems that fuse the evidences from multiple sources of biometric have exhibited to diminish the error rates and alleviate inherent frailties

    更新日期:2020-04-30
  • 3D face mask presentation attack detection based on intrinsic image analysis
    IET Biom. (IF 2.092) Pub Date : 2020-04-30
    Lei Li; Zhaoqiang Xia; Xiaoyue Jiang; Yupeng Ma; Fabio Roli; Xiaoyi Feng

    Face presentation attacks have become a major threat against face recognition systems and many countermeasures have been proposed over the past decade. However, most of them are devoted to 2D face presentation attack detection, rather than 3D face masks. Unlike the real face, the 3D face mask is usually made of resin materials and has a smooth surface, resulting in reflectance differences. Therefore

    更新日期:2020-04-30
  • Deep learning for face recognition on mobile devices
    IET Biom. (IF 2.092) Pub Date : 2020-04-30
    Belén Ríos-Sánchez; David Costa-da Silva; Natalia Martín-Yuste; Carmen Sánchez-Ávila

    Mobility implies a great variability of capturing conditions, which is not easy to control and directly affects to face detection and the extraction of facial features. Deep learning solutions seem to be the most interesting choice for automatic face recognition, but they are highly dependent on the model generated during the training stage. In addition, the size of the models makes it difficult for

    更新日期:2020-04-30
  • Cost-effective and accurate palm vein recognition system based on multiframe super-resolution algorithms
    IET Biom. (IF 2.092) Pub Date : 2020-04-30
    Venance Kilian; Nassor Ally; Josiah Nombo; Abdi T. Abdalla; Baraka Maiseli

    Palm vein recognition (PVR) refers to the contactless biometric identification method that uses palm vein patterns to confirm the identity of a person. Compared with other methods, PVR has received a wide attention because it provides more secure results. The veins, being located inside the human body, make PVR robust against tempering and changes in morphology of body features. Most PVR systems integrate

    更新日期:2020-04-30
  • Online writer identification system using adaptive sparse representation framework
    IET Biom. (IF 2.092) Pub Date : 2020-04-30
    Vivek Venugopal; Suresh Sundaram

    This study explores an adaptive sparse representation approach for online writer identification. The main focus is on employing prior information that quantifies the degree of importance of a dictionary atom concerning a given writer. This information is proposed by a fusion of two derived components. The first component is a saliency measure obtained from the sum-pooled sparse coefficients corresponding

    更新日期:2020-04-30
  • Universal fingerprint minutiae extractor using convolutional neural networks
    IET Biom. (IF 2.092) Pub Date : 2020-02-20
    Van Huan Nguyen; Jinsong Liu; Thi Hai Binh Nguyen; Hakil Kim

    Minutiae, widely used feature points of fingerprint images, directly decide the performance of fingerprint recognition. Conventional minutiae extractors rely on a series of preprocessing steps, thus performing poorly for bad quality samples due to error accumulations. Existing extractors using convolutional neural networks are trained and tested with a certain specific sensor, thus requiring various

    更新日期:2020-04-22
  • Face recognition: a novel multi-level taxonomy based survey
    IET Biom. (IF 2.092) Pub Date : 2020-02-20
    Alireza Sepas-Moghaddam; Fernando M. Pereira; Paulo Lobato Correia

    In a world where security issues have been gaining growing importance, face recognition systems have attracted increasing attention in multiple application areas, ranging from forensics and surveillance to commerce and entertainment. To help to understand the landscape and abstraction levels relevant for face recognition systems, face recognition taxonomies allow a deeper dissection and comparison

    更新日期:2020-04-22
  • Deep representations for cross-spectral ocular biometrics
    IET Biom. (IF 2.092) Pub Date : 2020-02-20
    Luiz A. Zanlorensi; Diego Rafael Lucio; Alceu de Souza Britto Junior; Hugo Proença; David Menotti

    One of the major challenges in ocular biometrics is the cross-spectral scenario, i.e. how to match images acquired in different wavelengths. This study designs and extensively evaluates cross-spectral ocular verification methods using well known deep learning representations based on the iris and periocular regions. Using as inputs, the bounding boxes of non-normalised iris-periocular regions, the

    更新日期:2020-04-22
  • Efficient method for segmentation of noisy and non-circular iris images using improved particle swarm optimisation-based MRFCM
    IET Biom. (IF 2.092) Pub Date : 2020-02-20
    Rapaka Satish; P. Rajesh Kumar

    Segmentation of the iris is a crucial stage in an automated iris-based recognition system. The performance of any biometric system primarily relies on how effectively the iris is extracted from the unwanted parts of an iris image. The process of iris segmentation is mainly affected by the noise artefacts such as eyelid/eyelashes occlusions, specular reflections, intensity inhomogeneities, and non-circularity

    更新日期:2020-04-22
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