将机器学习方法应用于基于手掌静脉模式的生物识别感兴趣区搜索问题

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS

AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI:10.3103/S0146411623080023

A. I. Almuhamedov, V. S. Kolomoitcev

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引用次数: 0

摘要

摘要本文讨论了基于手掌静脉图案的生物特征识别中搜索感兴趣区域的问题。在使用卷积神经网络（CNN）搜索感兴趣区域的基础上，提出了一种图像分割方法。该方法的操作与使用二值化图像特征的方法进行了比较，特别是与搜索局部最小值和搜索最小阈值的方法进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Application of Machine Learning Methods to the Problem of Searching for a Region of Interest for Biometric Identification Based on the Pattern of Palm Veins

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Application of Machine Learning Methods to the Problem of Searching for a Region of Interest for Biometric Identification Based on the Pattern of Palm Veins

This paper discusses the problem of searching for a region of interest for biometric identification based on the pattern of palm veins. An image segmentation method is proposed based on the use of convolutional neural networks (CNNs) to search for a region of interest. The operation of this method is compared with methods that use the features of a binarized image, and in particular, with the method of searching for the local minima and searching for the minimum threshold value.

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来源期刊

AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

22.20%

发文量

期刊介绍： Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision