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All Journal Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan
Pratama, Eko Imam
Fakultas Teknik Universitas Maritim Raja Ali Haji
Computer Science & IT Electrical & Electronics Engineering

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Penerapan Algoritma Local Binary Pattern untuk Pengenalan Pola Sidik Jari Hayaty, Nurul; Bettiza, Martaleli; Pratama, Eko Imam
Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Vol 6 No 2 (2017): Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1332.047 KB) | DOI: 10.31629/sustainable.v6i2.427

Abstract

Recognition of patterns in a person by using parts of the human body, such as on fingerprints, has been widely applied in life such as to perform absenteeism, tracking a criminal, system security and so on. Local Binary Pattern (LBP) algorithm is known as an algorithm that can describe local texture pattern in an area. LBP uses 8 scattered circular neighborhoods with center pixels centered. In a 3 x 3 pixel image, the binary value in the image center is compared with the surrounding value. The surrounding value will be 1 if the central pixel value is smaller, and is 0 if the central binary value is greater. A total of 78 data were used for this study where 26 data were using blue ink fingerprints, and 26 black ink data. After the fingerprint pattern data obtained then the image is scanned. After that the image in the crop to be 50 pixels x 50 pixels, so all the data becomes uniform. The algorithm used to make an introduction is the Manhattan Distance algorithm. Based on the test results of 26 test data with different color inks, the result obtained accuracy of 61.54%.
Co-Authors Hayaty, Nurul Martaleli Bettiza