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RFID Based Face Detection Attendance System


Pawan M Dhole , P.E.S Modern College Of Engineering,Pune; Swati Kakade, P.E.S Modern College Of Engineering,Pune; Akash Khandare, P.E.S Modern College Of Engineering,Pune; Gaurav Dumre, P.E.S Modern College Of Engineering,Pune


RFID, Face Detection, Attendance System


Effective and real-time face detection has been made possible by using the method of Local Binary Pattern since Viola and Jones' work. The software first captures an image of all the authorized persons and stores the information into database. Proposed work deals with automated system to detect and classify the Faces using PNN algorithm. The methodology comprised of three phases, first face Detection from images, second apply Local Binary Pattern algorithm for the purpose of feature extraction. The most valuable and exclusive structures of the face image are removed in the feature extraction stage. In the classification the face image is compared with the images from the database. In our research work, we empirically evaluate face recognition which considers both shape and texture information to represent face images based on Local Binary Patterns for person independent face recognition. The face area is first divided into small regions from which Local Binary Patterns (LBP), histograms are extracted and concatenated into a single feature vector. This feature vector forms an efficient representation of the face and is used to measure similarities between images in third phase and probabilistic neural network has been created and trained according to the features extracted from the image. Trained classifier classifies the label name of person.

Other Details

Paper ID: IJSRDV6I10817
Published in: Volume : 6, Issue : 1
Publication Date: 01/04/2018
Page(s): 1219-1220

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