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Soft Biometrics: Extraction and Applications based on Images and Videos

Soft Biometrics: Extraction and Applications based on Images and Videos

Soft biometric traits refer to physical and behavioral traits, such as gender, height and weight, which are not unique to a specific subject, but are useful for identification, verification, and description of human subjects. Soft biometric attributes can be combined with classical biometric traits to improve the accuracy of a biometric recognition system. They can also be used as filters to restrict the search during a biometric identification operation. The extraction of soft biometric attributes can also be useful in other application domains, such as healthcare, human computer interaction (HCI), robotics, and gaming. This special issue aims to assemble high-quality, unpublished research papers on the topic of soft biometric extraction and matching based on image and video data.

Edited by: Guodong Guo, Mark Nixon, Arun Ross and Mayank Vatsa

  1. Content type: Research

    A challenging area of pattern recognition is the recognition of handwritten texts in different languages and the reduction of a volume of data to the greatest extent while preserving associations (or dependenc...

    Authors: Somaya Al-Maadeed, Fethi Ferjani, Samir Elloumi and Ali Jaoua

    Citation: EURASIP Journal on Image and Video Processing 2016 2016:1

    Published on:

  2. Content type: Research

    This paper presents a detailed study about different algorithmic configurations for estimating soft biometric traits. In particular, a recently introduced common framework is the starting point of the study: i...

    Authors: Pierluigi Carcagnì, Marco Del Coco, Dario Cazzato, Marco Leo and Cosimo Distante

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:37

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  3. Content type: Research

    This paper presents a simple camera calibration method for estimating human height in video surveillance. Given that most cameras for video surveillance are installed in high positions at a slightly tilted ang...

    Authors: Shengzhe Li, Van Huan Nguyen, Mingjie Ma, Cheng-Bin Jin, Trung Dung Do and Hakil Kim

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:32

    Published on:

  4. Content type: Research

    The use of millimetre wave images has been proposed recently in the biometric field to overcome certain limitations when using images acquired at visible frequencies. Furthermore, the security community has st...

    Authors: Ester Gonzalez-Sosa, Ruben Vera-Rodriguez, Julian Fierrez, Miriam Moreno-Moreno and Javier Ortega-Garcia

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:30

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  5. Content type: Research

    A novel method for person identification based on soft-biometrics and oriented to work in real video surveillance environments is proposed in this paper. Thus, an evaluation of relevance’s level of several app...

    Authors: Daniela Moctezuma, Cristina Conde, Isaac Martín De Diego and Enrique Cabello

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:28

    Published on: