Development of a enhanced ear recognition system for personal identification
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Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper examines the development of a Match Region Localization (MRL) Ear Recognition System (ERS). Captured ear images were pre-processed through cropping, and enhancement. The pre-processed ear images were segmented by MRL segmentation algorithm, where the pre-processed images were sub divided into 96 sub images. Principal features from the segmented ear were extracted and used for template generation. K-nearest Neighbour classifiers with Euclidean distance metrics were used for the classification. The developed ERS demonstrated a recognition accuracy of 96.00%. The developed system can be tested on other available public ear databases to allow for cross-database comparison. Moreover, the system can still be improved for further reduction of ERS.
Açıklama
IEEE 5th International Conference for Convergence in Technology (I2CT) -- MAR 29-31, 2019 -- Pune, INDIA
Anahtar Kelimeler
Identity, Ear, PCA, ERS, Histogram, Segmentation, Biometrics, Accuracy
Kaynak
2019 Ieee 5Th International Conference For Convergence in Technology (I2Ct)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
