Human Face Detection and Recognition using Web-Cam

Abstract

Problem statement:The illuminance insensitivity that reflects the angle of human facial aspects occurs once the distance between the object and the camera is too different such as animated images. This has been a problem for facial recognition system for decades. Approach: For this reason, our study represents a novel technique for facial recognition through the implementation of Successes Mean Quantization Transform and Spare Network of Winnow with the assistance of Eigenface computation. After having limited the frame of the input image or images from Web-Cam, the image is cropped into an oval or eclipse shape. Then the image is transformed into greyscale color and is normalized in order to reduce color complexities. We also focus on the special characteristics of human facial aspects such as nostril areas and oral areas. After every essential aspectsarescrutinized, the input image goes through the recognition system for facial identification. In some cases where the input image from the Web-Cam does not exist in the database, the user will be notified for the error handled. However, in cases where the image exists in the database, that image will be computed for similarity measurement using Euclidean Distance measure from the input image. Results and Conclusion:The result of our experiment reveals that the recognition process of 150 images in the database and 10 images from the Web-Cam provides 100% accuracy in terms of recognition. The runtime in this case is at 0.04 sec.

Information synthesis of adaptive system for visual diagnostics of emotional and mental state of a person

“…is the operator of image processing (forming the sample set Y at the input of CSD); 2 : Y X Φ → is the operator of forming the binary training matrix X.…”

“…The main drawback of the known methods of intelligent analysis is the use of distance measures of proximity [1,2] or similarity [3,4], which in practice decreases the probability of making correct diagnostic decisions considering emotional and mental state (EMS) of a person. In the works of [5,6], the methods for evaluating EMS of a person with the use of his halftone raster face images are considered.…”

Face Mask Detection for Real Time Video Streams

“…In some cases where the input image from the Web-Cam does not exist in the database, the user is notified for the error handled. However, in cases where the image exists in the database, that image will be computed for similarity measurement using Euclidean Distance measure from the input image (15).…”

A LabVIEW Design for Frontal and Non-Frontal Human Face Detection System in Complex Background

“…Research was examined on face detection for frontal color images using web-cam for lowresolution images. The images captured form the web-cam were stored in a database [10].…”