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Recognizing Gender from Human Facial Regions using Genetic Algorithm
[article]
2017
arXiv
pre-print
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Finally, the classification scores obtained from individual regions are combined with a genetic algorithm based learning to improve the overall classification accuracy. ...
Recently, recognition of gender from facial images has gained a lot of importance. ...
The classification scores of individual regions have been combined with genetic algorithm to provide improved performance. ...
arXiv:1712.01661v1
fatcat:tnqynnda5fbp7ev3d5cawqkpqq
Speaker State Recognition: Feature Selection Method based on Self-adjusting Multi-criteria Evolutionary Algorithms
2016
Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics
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algorithm and self-adjusting multi-criteria genetic programming. ...
The proposed approach was compared with different methods for feature selection on four audio corpora for speaker emotion recognition and for speaker gender identification. ...
It turns out that by using the proposed evolutionary technique we could significantly improve efficiency of the recognition tasks. ...
doi:10.5220/0005946801230129
dblp:conf/icinco/SergienkoL16
fatcat:xcu5sczdjbdodjk5o3wtqpmnkq
An Extended Local Binary Pattern for Gender Classification
2013
2013 IEEE International Symposium on Multimedia
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This paper addresses the problem of gender recognition by proposing a new feature descriptor to be used in classification. ...
recognition accuracy. ...
genetic algorithms V. ...
doi:10.1109/ism.2013.61
dblp:conf/ism/ArdakanyNN13
fatcat:nukjvwaxznathkraxbl4t6pxfi
Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems: Ways of Improvement
2015
Journal of Siberian Federal University Mathematics & Physics
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Speaker-or gender-specific information is used either for including into the feature vector directly, or for creating separate emotion recognition models for each gender or speaker. ...
Secondly, a feature selection procedure is an important part of any classification problem; therefore, we proposed using a feature selection technique, based on a genetic algorithm or an information gain ...
Speaker State Recognition with Feature Selection Techniques To perform the feature selection-based approach two techniques have been chosen, Information Gain Ratio (IGR) and a Genetic Algorithm (GA). ...
doi:10.17516/1997-1397-2015-8-2-208-216
fatcat:d5w7qpag2fbdrk2tfxzgfag6yq
A Classifier Model based on the Features Quantitative Analysis for Facial Expression Recognition
2011
International Journal on Advanced Science, Engineering and Information Technology
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Also in this model, fuzzy logic and genetic algorithm are used to classify facial expressions. ...
Genetic algorithm is an exclusive attribute of proposed model which is used for tuning membership functions and increasing the accuracy. ...
Therefore, objective in this research is development of facial expression recognition systems using Genetic Algorithm and Fuzzy rule based System (GAFs) in order to reduce the complexity and also performance ...
doi:10.18517/ijaseit.1.4.81
fatcat:pwsauhv5abbbdm6eruhxlc4xxi
Face Recognition System Using Genetic Algorithm
2016
Procedia Computer Science
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However, the recognition process used by the human brain for identifying faces is very challenging. In this paper, a Genetic Algorithm (GA) based approach is proposed for face recognition. ...
Face recognition is probably the biometric method that is used to identify people mainly from their faces. ...
The main purpose of research is to improve the recognition rate using the proposed method. ...
doi:10.1016/j.procs.2016.05.183
fatcat:ekriunpcsbb4haeerzca5trnni
Gender Detection using Machine Learning Techniques and Delaunay Triangulation
2015
International Journal of Computer Applications
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Various classification algorithms such as Functional Trees, AdaBoost, J48, and few others are used to gauge the maximum accuracy. ...
Gender prediction can prove to be a very useful technique in HCI (Human Computer Interaction) Systems. ...
Zehang Sun et al, [12] proposed Gender classification from frontal face images using genetic feature subset selection. ...
doi:10.5120/ijca2015905507
fatcat:vwibtk734zci5i6a4zgtkj3som
Evolutionary eigenvoice MLLR speaker adaptation
2011
Procedia Computer Science
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Experimental results on TIMIT database illustrate that genetic algorithm, using random individuals in first population, leads to up to 1.03% improvement in phoneme recognition rate. ...
To find the best solution for the coefficients estimation problem, we suggest using genetic algorithm (GA) for rapid speaker adaptation. ...
Moreover, we try to improve the performance of genetic algorithm by using the coefficients estimated by maximum likelihood in initial population. ...
doi:10.1016/j.procs.2010.12.163
fatcat:zyb5dwlx3jbvlpmjaf2hobjsmq
Introduction to the special issue on evolutionary computer vision and image understanding
2006
Pattern Recognition Letters
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We deeply appreciate the promptness, clarity, and useful suggestions that were provided, by Gabriella Sanniti di Baja, Editor-in-Chief for Special Issues of Pattern Recognition Letters, during various ...
The next three papers use genetic programming to approach object classification and recognition. ...
In A situated model for sensory-motor coordination in gaze control, de Croon et al. attack the problem of gaze control coordination using a situated model to approach a gender recognition task. ...
doi:10.1016/j.patrec.2005.07.013
fatcat:dm4s7rmifraelm755rxsy4ysjm
Privacy-Preserving Human Action Recognition with a Many-Objective Evolutionary Algorithm
2022
Sensors
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In this paper, a many-objective evolutionary algorithm (MaOEA) is used in order to maximise action recognition from individuals while concealing (minimising recognition of) gender and age. ...
Human action recognition (HAR), and in particular, the recognition of activities of daily living (ADLs), can be used for these types of assessment or journaling. ...
code' (therefore, often also called genetic algorithms, GAs). ...
doi:10.3390/s22030764
pmid:35161511
pmcid:PMC8840543
fatcat:jhxsclhwdzcolfku4iyfejzqwi
Gender classification for real-time audience analysis system
2014
Proceedings of 15th Conference of Open Innovations Association FRUCT
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Both training technique of the proposed algorithm and experimental results acquired on a large image dataset are presented. More than 90% accuracy of viewer's gender recognition is achieved. ...
As reported previously, the proposed system consists of five consecutive stages: face detection, face tracking, gender recognition, age classification and statistics analysis. ...
Gender recognition, for example, can be used to collect and estimate demographic indicators [5] [6] [7] [8] . ...
doi:10.1109/fruct.2014.6872428
dblp:conf/fruct/KhryashchevSSL14
fatcat:qyvmndfnazc57n6yh4zktlkrjm
Brand Marketing Decision Support System Based on Computer Vision and Parallel Computing
2022
Wireless Communications and Mobile Computing
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Then, use parallel computing to optimize the genetic algorithm to improve the running speed of the algorithm. ...
Parallel genetic algorithms run 1.8 times faster than serial genetic algorithms at the lowest and 9 times faster at the highest. ...
Parallel genetic algorithm can improve the running speed of the algorithm and save calculation time. ...
doi:10.1155/2022/7416106
fatcat:ax2lz6vwyjfqbd3symx5ug6hqq
A methodological study and analysis of machine learning algorithms
2019
International Journal of Advanced Technology and Engineering Exploration
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Machine leaning algorithms have been used in vast area of research including stock market to medical informatics. ...
Support vector machine (SVM), decision tree, random forest, K-nearest neighbors (KNN), naïve Bayes and multilayer perceptron (MLP) are widely used algorithms in different area of data classification. ...
[25] Gender recognition of names based on machine learning algorithm They have studied for the gender recognition of Chinese names.
5 [26] Analysis of machine learning algorithms for gender classification ...
doi:10.19101/ijatee.2019.650020
fatcat:z4q4nruzsjcahlplweqip5bt5e
Classification of Fruit Flies by Gender in Images Using Smartphones and the YOLOv4-Tiny Neural Network
2022
Mathematics
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In the genetic analysis of flies, a routine task is to determine the offspring size and gender ratio in their populations. ...
Among the factors that most strongly influencing the accuracy of fly gender recognition, the fly's position on the paper was the most important. ...
Acknowledgments: Data analysis was performed using the computational resources of the "Bioinformatics" Joint Computational Center of the ICG SB RAS. ...
doi:10.3390/math10030295
fatcat:muupyaik3ncmbn4w2x467anp4m
A Tool to Develop Arabic Handwriting Recognition System Using Genetic Approach
2010
Journal of Computer Science
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That system start from preprocessing and segmentation phases that deepened on thinning the image and found the V and H projection profile until recognition phase by genetic algorithm. ...
Results: The genetic algorithm stand on feature extraction algorithm that defined six feature for each segment beak. The system can be recognized Arabic handwriting with 87% accuracy. ...
The use of genetic algorithm to recognize a character has been a new algorithm used in this problem. ...
doi:10.3844/jcssp.2010.619.624
fatcat:gjzsmj6yizcrzcob2chh7d7ni4
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