Face Recognition with Frame size reduction and DCT compression using PCA algorithm
نویسندگان
چکیده
منابع مشابه
Gender Recognition Using PCA and DCT of Face Images
In this paper we propose a gender recognition algorithm of face images. We have used PCA and DCT for dimensionality reduction. The algorithm is based on a genetic algorithm to improve the selection of training set of images for the PCA algorithm. Genetic algorithm helps to select the images, which best represent each gender, from the image database. We have evaluated a nearest neighbor classifi...
متن کاملFace Recognition using Eigenfaces , PCA and Supprot Vector Machines
This paper is based on a combination of the principal component analysis (PCA), eigenface and support vector machines. Using N-fold method and with respect to the value of N, any person’s face images are divided into two sections. As a result, vectors of training features and test features are obtain ed. Classification precision and accuracy was examined with three different types of kernel and...
متن کاملFace Recognition Using Neural Network with Pca–mbp Algorithm
In this paper, a face recognition system for personal identification and verification using Principal Component Analysis (PCA) with Modified Back Propagation Neural Networks (MBPNN) is proposed. The dimensionality of face image is reduced by the PCA and the recognition is done by the MBPNN. The system consists of a database of a set of facial patterns for each individual. The characteristic fea...
متن کاملFace Recognition Based on PCA, DCT, DWT and Distance Measure
Face Recognition has been identified as one of the attracting research areas and it has drawn the attention of many researchers due to its varying applications such as identity authentication, security access control human computer interaction and surveillance. In this paper, we compare different features extraction algorithms like Principal Component Analysis (PCA), Discrete Cosine Transform (...
متن کاملFace Recognition using PCA-BPNN with DCT Implemented on Face94 and Grimace Databases
Face recognition is a field of computer vision that use faces to identify or verify a person. Face recognition used for real time applications and become the most important biometric area. This paper present two methodologies for face recognition. First methodology is feature extraction and dimension reduction using Principal Component Analysis (PCA) technique and second methodology is classifi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2021
ISSN: 2502-4760,2502-4752
DOI: 10.11591/ijeecs.v22.i1.pp168-178