Filtreler

2011 - 20172
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Yazar: Ergen, Burhan × Erişim Hakkı: info:eu-repo/semantics/openAccess ×

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Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    Biometric systems and hand based biometric recognition characteristics
    (Fırat Üniversitesi, 2011) Çalışkan, Abidin; Ergen, Burhan
    A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Palmprint recognition is regarded as the reliable and accurate biometric identification system available. In this work, a analysis of biometric technologies has been realized and a palmprint recognition system has been researched. Viewed in the palm of biometric approaches, compared to other models because it is a new handheld biometric feature recognition systems has recently attracted the attention of researchers.
  • Küçük Resim Yok
    Öğe
    Palmprint recognition system based on gabor wavelet transform with K-NN classifier model
    (INESEC, 2017) Çalışkan, Abidin; Ergen, Burhan; Acar, Emrullah
    Palmprint recognition system is regarded as reliable and accurate biometric identification system. The biometric approach palm recognition system has attracted the attention of researchers in recent times because of the presenting a new biometric feature compared to other models. In this work, gabor wavelet transform (GWT) based palmprint recognition system has been developed. Firstly, image coordinate system is determined in order to facilitate image alignment for feature extraction. Then, region of interest is cropped from the palmprint images. With the developed system, features are extracted from the region of interest and they are given to k-nearest neighbors (k-NN) classifier as input parameters. Finally, the highest success rate for GWT based systematic sampling was computed as 86.90% according to the non-request data selection and it was observed that the proposed recognition system provide successful results in classification of palmprint images. Moreover, a good identification of the feature vector is the main factor that affects performance. Thus, the performance can also be improved by finding more suitable feature vectors.