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Book ChapterDOI

Smart Attendance with Real Time Face Recognition

S. Prasanth Vaidya
- pp 823-831
TLDR
In this paper , a Smart Attendance with Real Time Face Recognition (SARTFR) is proposed based on Viola Jones Algorithm and LBP methods for student detection and recognition for tracking student attendance.
Abstract
Face Recognition (FR) is a biometric technique that involves determining whether the image of a given person’s face matches any of the face images stored in a database. As a key attributes of biometric ratification, FR is widely utilized in different types of administration systems for video surveillance, computer human interface, indoor access systems, & network security. The proposed scheme is designed for student detection and recognition for tracking student attendance. As a result, Smart Attendance with Real Time Face Recognition (SARTFR) is a practical solution for day to day employee management activities. SARTFR is proposed based on Viola Jones Algorithm and LBP methods. SARTFR has got better results in terms of detection, recognition and tracking from the results.

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References
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Book ChapterDOI

Face Recognition with Local Binary Patterns

TL;DR: A novel approach to face recognition which considers both shape and texture information to represent face images and the simplicity of the proposed method allows for very fast feature extraction.
Journal ArticleDOI

Design of Deep Learning Algorithm for IoT Application by Image based Recognition

TL;DR: The research discoveries on the application of deep learning in the Internet of Things (IoT) system are summarized in an image-based identification method that introduces a variety of appropriate criteria.
Journal ArticleDOI

An Efficient Dimension Reduction based Fusion of CNN and SVM Model for Detection of Abnormal Incident in Video Surveillance

TL;DR: The proposed efficient deep learning framework is a combination of CNN and SVM architecture for the detection of abnormal conditions at video surveillance with the help of an image classification procedure and it is used to reduce the time complexity.
Journal ArticleDOI

Enhancing Face Identification Using Local Binary Patterns and K-Nearest Neighbors

TL;DR: The proposed identification system shows higher performance, and also provides successful face similarity measures focus on feature extractions, and the combined algorithms combined two algorithms: robustness local binary pattern (LBP) and k-nearest neighbor (K-NN) for image classifications.
Proceedings ArticleDOI

Design and Implementation of a Student Attendance System Using Iris Biometric Recognition

TL;DR: This paper proposes an alternative and accurate method of taking attendance that is both spoofproof and relatively cheap to implement.