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Multilocal feature selection using genetic algorithm for ...
This paper presents an improved offline face recognition algorithm based on a multi-local feature selection approach for grayscale images. The approach taken in this work consists of five stages, namely face detection, facial feature (eyes, nose and mouth) extraction, moment generation, facial feature classification and face identification....
Feature Selection Using Genetic Algorithms for the ...
Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound Antonio García-Dominguez , 1 Carlos E. Galván-Tejada , 1 Laura A. Zanella-Calzada , 1 Hamurabi Gamboa-Rosales , 1 Jorge I. Galván-Tejada , 2 José M. Celaya-Padilla , 1 Huizilopoztli Luna ......
Multi-Objective Differential Evolution for feature ...
Feature selection using Multi-Objective Differential Evolution (DEMO) is proposed.This efficient selection is integrated in advanced Facial Emotion Recognition system.Emotion-specific and more discriminative features over all emotions selection strategies.Emotion recognition accuracy of proposed algorithm comparable to state-of-the-art.Feature selection by using DEMO enormously reduces a ......
Feature Extraction in Face Recognition: A Review
Feature Extraction in Face Recognition: A Review. Gurpreet Kaur, Monica Goyal, Navdeep Kanwal Abstract: Face recognition is a type of biometric software application by using which, we can analyzing, identifying or verifying digital image of the person by using the feature of the face of the person that are unique characteristics of each person. These characteristics may be physical or behavior....
 Face Recognition using SIFT Key with Optimal Features ...
various algorithms along with genetic algorithm to produce optimal rate corresponding to face recognition. The proposed algorithm uses training dataset. The image is selected from training dataset. Median filtering is applied along with clipping operation in order to fetch only face part of the image....
Feature Extraction in Face Recognition: A Review ...
Genetic Algorithm is based on feature selection and Back propagation Neural Network (BPNN) is used for the classification of face images. Keywords: – Face recognition, PCA, LDA, Features extraction, BPNN. Through this paper my aim to explain all algorithm and compare, that all algorithms that are used for feature extraction in face recognition....
Adaboost face detector based on Joint Integral Histogram ...
Zalhan M, Khalid M, Yusof R. Feature selection using genetic algorithm for face detection. Malaysia: International Colloquium on Signal Processing and its Applications; 2007a. Zalhan M, Khalid M, Yusof R. Enhanced Feature Selections of Adaboost Training for Face Detection using Genetic Algorithm....
Particle Swarm Optimization- Best Feature Selection method ...
Pattern Recognition, Security, PSO Algorithm. Keywords Discrete Cosine Transform, Discrete Wavelet Transform, Face Recognition, Feature Selection, Genetic Algorithm, Particle Swarm Optimization. . 1. INTRODUCTION In this paper, a face recognition algorithm using a PSO-based feature selection approach is presented....
Ritam Guha - UG researcher - CMATER lab, Jadavpur ...
Feature Selection Using Histogram-Based Multi-objective GA for Handwritten Devanagari Numeral Recognition Intelligent Engineering Informatics, Springer, Singapore 2018 In this paper, we propose an efficient feature selection method, called Histogram-Based Multi-objective Genetic Algorithm (HMOGA), for finding informative features from high ......
Development Of A Discrete-Firefly Algorithm Based Feature ...
3.2 Implementation of Firefly Algorithm for Feature Selection for Face Recognition 41 3.2.1 Image acquisition 41 3.2.2 ORL face database 42 3.2.3 Yale face database 42 3.2.4 Local Images Face Database. 43 5 3.2.5 Importing of the Images into MATLAB („imread‟) 44 3.2.6 Converting RGB into Grayscale Images 44 3.3 Extraction using DCT and DWT 45...
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