An Approach for Person Detection along with Object Using Machine Learning

IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Srikanth Bethu, M. Neelakantappa, A. S. Goud, B. H. Krishna, P. Rao M
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引用次数: 0

Abstract

—The best biometric information processes is a face recognition device, its applicability is simpler and its working range is broader than other methods like fingerprinting, iris scanning and signature. Face Detection is one of the kinds of bio-metric strategies that immediately apply to facial recognition by computerized devices through staring at the facial. It is a common feature used in bio analytics, digital cameras, and social labeling. Main applications of facial recognition algorithms that concentrate on recognition of face include environments, artifacts, and other parts of humans. Face-detection systems uses learning algorithms which are part of machine learning that can be used to identify subject faces inside big size pictures in order to function.
一种基于机器学习的人与物体检测方法
-最好的生物识别信息处理是人脸识别设备,它比指纹、虹膜扫描、签名等其他方法适用性更简单,工作范围更广。面部检测是一种生物识别策略,通过计算机设备盯着面部立即应用于面部识别。它是生物分析、数码相机和社会标签中常用的特征。人脸识别算法的主要应用包括环境、人工制品和人体的其他部分。面部检测系统使用学习算法,这是机器学习的一部分,可以用来识别大尺寸图片中的受试者面部,以便发挥作用。
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来源期刊
Journal of Advances in Information Technology
Journal of Advances in Information Technology Computer Science-Information Systems
CiteScore
4.20
自引率
20.00%
发文量
46
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