An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition

作     者：Seetharam Khetavath Navalpur Chinnappan Sendhilkumar Pandurangan Mukunthan Selvaganesan Jana Lakshmanan Malliga Subburayalu Gopalakrishnan Sankuru Ravi Chand Yousef Farhaoui 

作者机构：Department of Electronics and Communication EngineeringChaitanya(Deemed to be University)Warangal 506001India. Department of Electronics and Communication EngineeringSri Indu College of Engineering&TechnologySherigudaHyderabad 501510India. Department of Electronics and Communication EngineeringVel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India. Department of Electronics and Communication EngineeringMalla Reddy Engineering College for Women(Autonomous)Telangana 500100India. Department of Electronics and Communication EngineeringNalla Narasimha Reddy Education Society’s Group of Institutions-Integrated CampusHyderabad 500088India. STI Laboratorythe IDMS TeamFaculty of Sciences and TechniquesMoulay Ismail University of MeknèsErrachidia 52000Morocco. 

出 版 物：《Big Data Mining and Analytics》 (大数据挖掘与分析（英文）)

年 卷 期：2023年第6卷第3期

页      面：321-335页

核心收录：

学科分类：0402[教育学-心理学(可授教育学、理学学位）] 12[管理学] 040203[教育学-应用心理学] 04[教育学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：hand gesture recognition skin color detection morphological operations Multifaceted Feature Extraction(MFE)model Heuristic Manta-ray Foraging Optimization(HMFO) Adaptive Extreme Learning Machine(AELM) 

摘      要：The development of hand gesture recognition systems has gained more attention in recent days,due to its support of modern human-computer ***,sign language recognition is mainly developed for enabling communication between deaf and dumb *** conventional works,various image processing techniques like segmentation,optimization,and classification are deployed for hand gesture ***,it limits the major problems of inefficient handling of large dimensional datasets and requires more time consumption,increased false positives,error rate,and misclassification ***,this research work intends to develop an efficient hand gesture image recognition system by using advanced image processing *** image segmentation,skin color detection and morphological operations are performed for accurately segmenting the hand gesture ***,the Heuristic Manta-ray Foraging Optimization(HMFO)technique is employed for optimally selecting the features by computing the best fitness ***,the reduced dimensionality of features helps to increase the accuracy of classification with a reduced error ***,an Adaptive Extreme Learning Machine(AELM)based classification technique is employed for predicting the recognition *** results validation,various evaluation measures have been used to compare the proposed model’s performance with other classification approaches.