Pose and Illumination Invariant Face Recognition for Automation of Door Lock System

Purushothaman, A.; Palaniswamy, Suja

doi:10.1109/icicct.2018.8473103

Cited by 10 publications

(1 citation statement)

References 2 publications

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“…Face detection often functions as the initial step and has a substantial influence on how subsequent activities inside the app will perform in apps that involve facial tracking, analysis, and identification. Using Eigenface and ANN for face recognition, Amritha Purushothaman et al [4] developed a door entry system in 2018. Using the Raspberry Pi and ZigBee to construct Wireless Sensor Networks (WSN) for communication between the Raspberry Pi and other modules, Principal Component Analysis (PCA) is utilized for face recognition.…”

Section: Literature Surveymentioning

confidence: 99%

Covid-19 Contactless Remedies for Students in Educational Institutes

Swami

2023

Advances in Transdisciplinary Engineering

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As we all know fingerprint recognition is one of the secure and accurate Biometric Technologies. If think about it in deep even with the Biometric system the virus can be spread during these situations. To overcome this, we need to come up with a secure and contactless way of authentication. So, let’s update to some contactless remedies like Iris authentication which are unique for every individual and they don’t need to have any physical contact. So, we can use this Iris detection for a secure and contactless authentication system. The main aim of this research is to provide contactless remedies for students in Educational institutes like Smart Locking system, Attendance management system, and Library Transaction by using their Iris authentication and Face Recognition. Coming to the outline of the attendance management system, we will first collect the data from the Kaggle repository. Next, we split the data into training and testing, then we will train the data using transfer learning techniques and test the model by using test data. Finally, we integrated the trained model with the flask. If the Iris matches then the attendance of a particular person will be posted. If not matched then we train the model by adding new person’s data. For the construction of modern electronic security systems, real-time face recognition is crucial. Face detection, feature extraction, and face recognition are the three procedures involved. After recognizing the face, it will check whether the person’s face matches the collected database. If it matches it will show the person’s name, the number of books he took, and what those books are for Library transactions and in the same way the locker will be open if the person’s data is matched. The proposed methods are secure and unique contactless ways of authentication for every individual. So, we can use these detection and authentication systems for secure and contactless applications. It can be successfully used for students in Educational institutes like Smart Locking system, Attendance management system, and Library Transaction by using their Iris authentication and Face Recognition. The Covid-19 infection in society will undoubtedly decline if the proposed argument is implemented.

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Section: Literature Surveymentioning

confidence: 99%