CD Skripsi

Sistem Identifikasi Absensi Berbasis Telapak Tangan (Palm Print)

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Biometrics is an automatic method of getting to know someone based on physical characteristics such as iris, fingerprints, palms and other organs. The palm is one of the human organs that is commonly used as identification because it is unique. The palms also can’t change for decades, so they can be used in identification systems. In this study the application of palm-based identification systems will be designed using 2 PCA (Principal Component Analysis) and Back Propagation Neural Network (BPNN) methods. The principle method of PCA aims to simplify the variables to be observed by reducing the size of the dimensions. Furthermore, the Back Propagation Neural Network (BPNN) method is one of the machine learning methods that is suitable for qualitative data analysis (binary data). This BPNN is used to obtain high accuracy from the results of the analysis. The results of the error at the time of retrieval of the palm of the hand using the BPNN method amounted to 0.0000007 and the speed at which the palm was taken was 0:00:09 seconds. This study using Matlab R2016a software for making palm recognition system applications. Matlab is used because of the image processing toolbox which has many complete tools and functions for processing and analyzing images.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

07 04. 119 (0035)

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Elektrok., 2019

Deskripsi Fisik

vi, 71 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

07 04. 119 (0035)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

Lampiran Berkas

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