Forthcoming articles


International Journal of Biometrics


These articles have been peer-reviewed and accepted for publication in IJBM, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Biometrics (2 papers in press)


Regular Issues


  • Human Age Classification using Appearance Features and Artificial Neural Network   Order a copy of this article
    by Jayant Jagtap, Manesh Kokare 
    Abstract: This paper presents a novel method for human age classification via face images by a computer. The proposed method classifies the human face images into four age groups: child, young, adult and senior adult by using appearance features as ageing features and Artificial Neural Network (ANN) as age classifier. The appearance features consists of both shape and textural features. Only two geometric ratios in combination with newly introduced rotation, scale and translation invariant efficient feature face angle are used as shape features. Local Binary Pattern Histogram (LBPH) of regions of interest in face image are used as textural features. The ANN is designed by using two layer feedforward back propagation neural networks. The performance of proposed age classification system is evaluated on face images from FG-NET ageing database and achieved greatly improved accuracy of 91.09% and 88.18% for male and female respectively.
    Keywords: Age classification; Appearance features; Artificial neural networkrn(ANN); Local Binary Pattern Histogram (LBPH).

  • Undecimated Discrete Wavelet Transform for Touchless 2D Fingerprint Identification   Order a copy of this article
    by Salah Ahmed Saeed Othman, Tarik Boudghene Stambouli 
    Abstract: Several recent research efforts in biometrics have focused on developing the touchless fingerprint identification system. Most of them using imaging resulting from cameras and mobile devices. The acquired images are firstly subjected to robust preprocessing steps to localize region of interest in order to extract its features. In the literature, touchless fingerprint features are generally based on algorithms designed for minutiae analysis in touch-based images. Because of perspective distortions and deformations in the samples, minutiae-based techniques can obtain poor results. This paper investigates multi-resolution decomposition features to overcome the limitations of using traditional minutiae algorithms in term of accuracy and matching speed. These decompositions are implemented on Hong Kong polytechnic university 2D touchless fingerprint database that contains 10080 images. Experimental results illustrate successful use of Undecimated Discrete Wavelet Transform (UDWT) and Discrete Wavelet Packet Transform (DWPT) which give better performance than Discrete Wavelet Transform (DWT) and minutiae based method with less calculation cost.
    Keywords: biometrics; touchless fingerprint identification; fingerprint features extraction; wavelet transform; multi-resolution decomposition; minutiae feature.