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Advanced Signal Processing and Pattern Recognition Methods for Biometrics

  1. This paper presents a novel biometric identification system with high performance based on the features obtained from human retinal images. This system is composed of three principal modules including blood ve...

    Authors: Hadi Farzin, Hamid Abrishami-Moghaddam and Mohammad-Shahram Moin
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:280635
  2. Most of the existing gait recognition methods rely on a single view, usually the side view, of the walking person. This paper investigates the case in which several views are available for gait recognition. It...

    Authors: Xiaxi Huang and Nikolaos V. Boulgouris
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:629102
  3. Human Monitoring and Authentication using Biodynamic Indicators and Behavioural Analysis (HUMABIO) (2007) is an EU Specific Targeted Research Project (STREP) where new types of biometrics are combined with sta...

    Authors: Ioannis G. Damousis, Dimitrios Tzovaras and Evangelos Bekiaris
    Citation: EURASIP Journal on Advances in Signal Processing 2008 2008:265767
  4. As electronic communications become more prevalent, mobile and universal, the threats of data compromises also accordingly loom larger. In the context of a body sensor network (BSN), which permits pervasive mo...

    Authors: Francis Minhthang Bui and Dimitrios Hatzinakos
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:529879
  5. The use of video sequences for face recognition has been relatively less studied compared to image-based approaches. In this paper, we present an analysis-by-synthesis framework for face recognition from video se...

    Authors: Yilei Xu, Amit Roy-Chowdhury and Keyur Patel
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:469698
  6. Head pose estimation has been an integral problem in the study of face recognition systems and human-computer interfaces, as part of biometric applications. A fine estimate of the head pose angle is necessary ...

    Authors: Vineeth Nallure Balasubramanian, Sreekar Krishna and Sethuraman Panchanathan
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:283540
  7. Noise, corruptions, and variations in face images can seriously hurt the performance of face-recognition systems. To make these systems robust to noise and corruptions in image data, multiclass neural networks...

    Authors: J. Uglov, L. Jakaite, V. Schetinin and C. Maple
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:468693
  8. This paper introduces a novel methodology that combines the multiresolution feature of the discrete wavelet transform (DWT) with the local interactions of the facial structures expressed through the structural...

    Authors: P. Nicholl, A. Amira, D. Bouchaffra and R. H. Perrott
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:675787
  9. This paper proposes a full-body layered deformable model (LDM) inspired by manually labeled silhouettes for automatic model-based gait recognition from part-level gait dynamics in monocular video sequences. Th...

    Authors: Haiping Lu, Konstantinos N. Plataniotis and Anastasios N. Venetsanopoulos
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:261317
  10. A new iris recognition method for mobile phones based on corneal specular reflections (SRs) is discussed. We present the following three novelties over previous research. First, in case of user with glasses, m...

    Authors: Kang Ryoung Park, Hyun-Ae Park, Byung Jun Kang, Eui Chul Lee and Dae Sik Jeong
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:281943
  11. Due to vast variations of extrinsic and intrinsic imaging conditions, face recognition remained to be a challenging computer vision problem even today. This is particularly true when the passive imaging approa...

    Authors: Sang-Ki Kim, Kar-Ann Toh and Sangyoun Lee
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:312849
  12. Features extracted from electroencephalogram (EEG) recordings have proved to be unique enough between subjects for biometric applications. We show here that biometry based on these recordings offers a novel wa...

    Authors: A. Riera, A. Soria-Frisch, M. Caparrini, C. Grau and G. Ruffini
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:143728
  13. Face recognition under varying pose is a challenging problem, especially when illumination variations are also present. In this paper, we propose to address one of the most challenging scenarios in face recogn...

    Authors: Zhanfeng Yue, Wenyi Zhao and Rama Chellappa
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:748483
  14. Security concerns increase as the technology for falsification advances. There are strong evidences that a difficult to falsify biometric trait, the human heartbeat, can be used for identity recognition. Exist...

    Authors: Yongjin Wang, Foteini Agrafioti, Dimitrios Hatzinakos and Konstantinos N. Plataniotis
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:148658