Meryem Erbilek

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In this study, iris recognition in the presence of partial occlusions is investigated using holistic and subpattern-based approaches. Principal Component Analysis (PCA) and subspace Linear Discriminant Analysis (ssLDA) methods are used as feature extractors to recognize iris images. In order to eliminate the effect of illumination changes, histogram(More)
Prediction of gender characteristics from iris images has been investigated and some successful results have been reported in the literature, but without considering performance for different iris features and classifiers. This paper investigates for the first time an approach to gender prediction from iris images using different types of features(More)
Any individual's biometric data are likely to change with the passage of time and, as a result, developing biometric applications for long-term use is a challenging task. One of the factors which increases the challenge of dealing with ageing effects in biometric systems is that the age of an individual is a continuous variable, and it is impossible to(More)
Handwriting biometrics have a long history, especially when the handwritten signature is the target, but it has also proved possible to use handwriting as a basis for the prediction of various non-unique but forensically useful characteristics of the writer. Most commonly, these are socalled “soft biometric” characteristics such as the age or gender of the(More)
The prediction of individual characteristics from biometric data which falls short of full identity prediction is nevertheless a valuable capability in many practical applications. This paper considers age prediction in two biometric modalities (iris and handwritten signature) and explores how different feature types and classification strategies can be(More)
Handwriting biometrics has a long history, especially when the handwritten signature is the target, but it has also proved possible to use handwriting as a basis for the prediction of various non-unique but forensically useful characteristics of the writer, generally considered to be examples of so-called ‘soft biometrics’. Most commonly, these are(More)
Biometric measurements are now often routinely adopted as a robust means of determining individual identity. Such an approach is clearly beneficial in a variety of scenarios, including those relating to medical environments. In the medical context, however, the use of biometric data can potentially offer other valuable opportunities for harnessing the power(More)