Dergiler / European Journal of Technique (EJT) / 2016 / Cilt: 6 Sayı: 1

PALMPRINT RECOGNITION BASED GABOR WAVELET TRANSFORM USING K-NN CLASSIFICATION

Sayfa
1–8
Yayın Tarihi
2016-04-01
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

With developed system feature extracted of region of interest and given of k-NN classifier.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Palmprint recognition system is regarded as the reliable and accurate biometric identification system available.
📊
Temel Bulgular & Veri:Viewed in the palmprint recognition system of biometric approaches, compared to other models because it is a new handheld biometric feature recognition system has recently attracted the attention of researchers.
💡
Sonuç & Katkı:With developed system feature extracted of region of interest and given of k-NN classifier.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Biometric · Palmprint recognition · Gabor wavelet transform

Abstract

Palmprint recognition system is regarded as the reliable and accurate biometric identification system available. Viewed in the palmprint recognition system of biometric approaches, compared to other models because it is a new handheld biometric feature recognition system has recently attracted the attention of researchers. In this study, palmprint recognition system based on Gabor wavelet transform has been developed. Firstly, image coordinate system is defined to facilitate image alignment for feature extraction. Then, region of interest is cropped from the palmprint images. With developed system feature extracted of region of interest and given of k-NN classifier.

🔖

Bu Makaleye Atıf Yap

ÇALIŞKAN, A. (2016). PALMPRINT RECOGNITION BASED GABOR WAVELET TRANSFORM USING K-NN CLASSIFICATION. European Journal of Technique (EJT), Cilt: 6 Sayı: 1, 1–8. https://ajindex.com/articles/928601

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...