Thinning Zhang-Suen dan Stentiford untuk Menentukan Ekstraksi Ciri (Minutiae) Sebagai Identifikasi Pola Sidik Jari
ABSTRACT: Fingerprint is the
skin on the palms of the hands and feet that are covered with small ridge
lines. Fingerprint pattern belonging to every human is being unique. There are
fingerprint on the ridge pattern will not change during human life. Ridge
pattern is characteristic of the fingrprint that can be used for biometric
identification. Based on fingerprint ridge pattern into four, namely whorl,
ulnar loop, radial loop, and arch. Minutiae Extraction (Crossing Number), Core
and Delta, Center Point Location can be used for fingerprint pattern
recognition. Some of the methods used in the fingerprint pattern recognition is
Minutiae Extraction, and Thinning Zhang-Suen and Stentiford. Croosing Number is
used for process Minutiae Extraction, example termination and bifurcation. The
classification method used Linear Discriminant Analysis. The result fingerprint
pattern recognition is system can recognize fingerprint patter as much as 20
images and system can not recognize fingerprint pattern as much as 10 images.
Accuracy of fingerprint pattern recognition is 66%.
KEYWORDS: Sidik Jari, Pola
Sidik Jari, Ekstraksi Minutiae, Crossing Number, Linear Discriminant Analysis
Penulis: Faiza Alif Fakhrina, Rahmadwati
Kode Jurnal: jptlisetrodd160289
