Book ChapterDOI
Accurate Facial Ethnicity Classification Using Artificial Neural Networks Trained with Galactic Swarm Optimization Algorithm
Chhandak Bagchi,D. Geraldine Bessie Amali,M. Dinakaran +2 more
- pp 123-132
TLDR
Simulation results indicate that the neural network trained with GSO gives a more accurate classification and converges faster than the other state of the art optimization algorithms.Abstract:
Facial images convey important demographic information such as ethnicity and gender. In this paper, machine learning approach is taken to solve the ethnicity classification problem. Artificial neural networks trained by state of the art optimization algorithms are used to classify faces as Caucasian or non-Caucasian based on the color of the skin. A feedforward neural network is trained using Galactic Swarm Optimization (GSO) algorithm which gives superior performance to other training algorithms such as backpropagation and Particle Swarm Optimization (PSO) which have been used earlier. In this paper, the RGB values of the skin are taken as inputs to the neural network. Each pixel of the image will be classified according to their RGB values and the class having the maximum number of pixels will be the output. Simulation results indicate that the neural network trained with GSO gives a more accurate classification and converges faster than the other state of the art optimization algorithms.read more
Citations
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Journal ArticleDOI
Hybrid deep neural network with adaptive galactic swarm optimization for text extraction from scene images
TL;DR: A weighted naïve Bayes classifier (WNBC)-based deep learning process is used in this framework to effectively detect the text and to recognize the character from the scene images.
Journal ArticleDOI
An efficient copy move forgery detection using adaptive watershed segmentation with AGSO and hybrid feature extraction
Sreenivasu Tinnathi,G. Sudhavani +1 more
TL;DR: A new CMFD approach is proposed on the basis of both block and keypoint based approaches that outperforms the existing approaches when the image undergone certain geometrical transformation and image degradation.
Journal ArticleDOI
Hybridization of Galactic Swarm and Evolution Whale Optimization for Global Search Problem
TL;DR: This paper addresses the robust population-based global optimization that is influenced by the simplicity and efficiency principles introduced in two new generation optimization algorithms by hybridization with evolution of the Whale Optimization Algorithm.
Journal ArticleDOI
Racial Categorization Methods: A Survey
TL;DR: This paper presents a comprehensive and comparative review of several racial categorization methods available in literature to identify race groups of humans and provides state-of-the-art technical information concerningracial categorization that will be useful to the research community for development of efficient and robust racial categorizations methods.
Book ChapterDOI
A Deep Learning-Based Framework for Accurate Facial Ethnicity Classification and Efficient Query Retrieval
TL;DR: A deep learning framework is proposed that classifies the individual into their respective ethnicities which are Asian, African, Latino, and White and a simple efficient face retrieval model is built which retrieves similar faces.
References
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Particle swarm optimization
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TL;DR: The face recognition grand challenge (FRGC) is designed to achieve this performance goal by presenting to researchers a six-experiment challenge problem along with data corpus of 50,000 images.
Journal ArticleDOI
Understanding the recognition of facial identity and facial expression
Andrew J. Calder,Andrew W. Young +1 more
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