Parmakizinden yüz tanıma

Literatürde biyometrik tanıma sistemlerine yönelik birçok başarılı teknik, yaklaşım ve algoritma geliştirilmiş ve gerçekleştirilmiştir. Bu çalışmalar incelendiğinde biyometrik özellikler arasındaki ilişkinin analizine yönelik herhangi bir çalışmaya rastlanmamaktadır. Sunulan çalışmada parmakizi, yüz, iris, retina ve el geometrisi gibi biyometrik özellikler arasında olabilecek herhangi bir ilişkinin varlığı tartışılmakta ve kişilerin yalnızca parmakizini kullanarak yüzlerini tahmin etmeye yönelik yapay sinir ağları temelli yeni ve zeki bir sistem tanıtılmaktadır. Elde edilen sonuçlar, sunulan çalışmanın bu konuda gerçekleştirilmiş bir ilk çalışma olmasına ve sonuçların hiç bir son işlemden geçirilmeden en ham şekliyle sunulmasına rağmen başarısının kabul edilebilir niteliklerde olduğunu ve gelecekte konuyla ilgili farklı çalışmaların geliştirilmesine katkı sağlayacağını göstermektedir.

Face recognition from fingerprints

As many approaches and algorithms for biometric recognition techniques have been developed and proposed in the literature in details, the relationships among biometric features have not been studied yet. This study presents an analysis of existence of any relationship among biometric features like fingerprints and faces. A new and novel approach based on artificial neural networks was designed and introduced to generate faces from fingerprint images. Experimental results have shown that faces were recognised with high accuracy from only fingerprints. Although the proposed system was an initial work on this topic, the results were very encouraging and promising for the future studies even if any post-processing was not applied.

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