Browsing UT - Computer Science by Subject "iris recognition"
Now showing items 1-5 of 5
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Pengenalan iris mata dengan algoritme voting feature interval versi 5 menggunakan ekstraksi ciri log-gabor wavelet
(2011)Biometric recognition based on iris patterns has its own advantages because iris patterns are more stable and reliable as compared to other biometric subjects such as face and fingerprint. This research provides implementation ... -
Pengenalan iris mata dengan Backpropagation Neural Network menggunakan praproses transformasi wavelet
(2011)Biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Data used for this research are obtained from CASIA dataset consisting of 600 eye ... -
Pengenalan Iris Mata dengan Support Vector Machine Menggunakan Ekstraksi Ciri Log-Gabor Filter
(2012)The human eye is one of the identifying characteristics of an individual, especially the iris part. Human iris has a consistent pattern and more reliable than the other biometric subjects such as face and fingerprint which ... -
Pengenalan Iris Mata Menggunakan Algoritme K-Nearest Neighbor Berbasis Histogram
(2012)Biometrics is the study of automated method to recognize or identify people based on one or more parts of the human body or the behavior of man himself. Iris image recognition is the process of matching between the ... -
Pengenalan Iris Mata Menggunakan Probabilistic Neural Network dengan Ekstraksi Ciri Log-Gabor Filter
(2013)One of the objects of research that is currently prevalent in the developed world is the individual identification technology based on biometrics. Iris biometric is promising for identification, because it has a consistent ...