Identification Of Palm Using Otsu Method and Mathematical Morphology to Open House Doors Identifikasi Telapak Tangan Menggunakan Metode Otsu Dan MorphologynMatematika Untuk Membuka Pintu Rumah

M. Sholihin, M. Arif, M. Alfansury, Nindi Misyahdul Yuzi, Sumijan
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引用次数: 1

Abstract

The biometrics system is an individual recognition technology using human body parts or behavior. Palm and fingerprints, each biometrics example based on body parts and human behavior. Image matching is a way to identify images. This research uses biometric technology, a system that performs image matching based on human body parts by matching test images received with training images contained in a database. The image used is the palm of the hand. The use of the palm because the palm has unique characteristics, is difficult to fake and tends to be stable. There are 10 samples of the palm image that will be used using the Otsu method and the Math Morphology method, which were previously filtered using a median filter and turned into grayscale. From 10 different samples showing different results with an average similarity level of 96.28%, the method proves that the palm joints are a characteristic that is owned by everyone, and it also proves that the palm can also used as an alternative to protect privacy, not just fingerprints for home security.
生物识别系统是一种利用人体部位或行为进行个体识别的技术。手掌和指纹,每一个基于身体部位和人类行为的生物识别例子。图像匹配是一种识别图像的方法。本研究使用生物识别技术,该系统通过将接收到的测试图像与数据库中包含的训练图像进行匹配,从而根据人体部位进行图像匹配。使用的图像是手掌。使用掌纹是因为掌纹具有独特的特性,不易伪造且趋于稳定。手掌图像的10个样本将使用Otsu方法和数学形态学方法,这些样本之前使用中值滤波器进行过滤并变成灰度。从10个不同的样本显示不同的结果,平均相似度为96.28%,该方法证明了手掌关节是每个人都拥有的特征,也证明了手掌也可以作为保护隐私的替代选择,而不仅仅是指纹用于家庭安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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