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IJMIEJanuary 2016Volume 6, Issue 1ISSN: 22490558___HUMAN FACE RECOGNITION USING PCA AND NEURAL NETWORK Yogesh B Sanap* ABSTRACT: Security and authentication of a person is a vital part of any business.
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How to fill out human face recognition using

01
Gather the necessary equipment, such as a camera or smartphone with a good quality lens.
02
Ensure that the lighting conditions are optimal for capturing clear images.
03
Obtain consent from individuals before capturing their faces, respecting privacy laws.
04
Take multiple pictures of each individual from different angles to improve recognition accuracy.
05
Preprocess the images, including cropping and adjusting for size and resolution.
06
Use a face recognition software or API to analyze the images and extract unique facial features.
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Store the analyzed data securely in a database for future reference and use.
08
Conduct regular updates and maintenance on the database to ensure accuracy and compliance.

Who needs human face recognition using?

01
Security companies for surveillance and threat detection.
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Law enforcement agencies for criminal investigations and missing persons identification.
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Retail businesses for customer identification and personalized marketing.
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Smartphone manufacturers for improved user authentication and security features.
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Event organizers for attendee management and security.
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Healthcare providers for patient identification and record management.
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Human face recognition is using biometric technology to identify and verify individuals based on their facial features.
Organizations and individuals that utilize facial recognition technology for identification purposes are required to file human face recognition.
Filling out human face recognition involves submitting a form that includes details about the technology used, its purpose, and the affected individuals' consent.
The purpose of human face recognition is to enhance security, streamline identification processes, and improve user experience in various applications, including law enforcement and mobile devices.
Information that must be reported includes the system's technical specifications, the context of its use, data protection measures, and user consent details.
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