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218 results for “feature extraction”
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Research ArticleOpen accessPhrase in the titleEnhancing Facial Expression Recognition Accuracy Through Haar Cascade-Based Feature ExtractionThambusamy Velmurugan, Lakshminarayanan MeenaFacial Expression Recognition (FER) has a significant interest because of its increased applications in Human-Computer Interaction (HCI), like video interactions, emotion analysis, image indexing, and retrieval and many more. In the discipline of computer vision, pattern recognition, and artificial intelligence FER has become an extremely active research topic. A crucial component of FER systems is feature extraction, which involves identifying … …Journal of Computer Science, Vol. 21, Issue 12 · 21 Jan 2026 · 1,656 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePreventing Deforestation in the Indian Landscape Through Neural Network-Based Intelligence Using Sound Event Detection and Advanced Feature Extraction TechniquesSallauddin Mohmmad, Suresh Kumar SanampudiForests play a vital role in maintaining ecological balance, regulating the climate, and conserving biodiversity. However, India’s forest landscape has witnessed significant changes between 1980 and 2024 due to deforestation, afforestation, and evolving conservation strategies. To address the challenges associated with forest monitoring, we proposed a model based on Sound Event Detection using a dataset comprising four classes: chainsaw sounds, … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,899 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAI-Based Feature Extraction Approaches for Dual Modalities of Autism Spectrum Disorder NeuroimagesMeenakshi Malviya, Chandra J, Nagendra NHigh-dimensional data, lower detection accuracy, susceptibility to manual errors, and the requirement of clinical experts are some drawbacks of conventional classification models available for Autism Spectrum Disorder (ASD) detection. To address these challenges and explore the affiliated information from advanced imaging modalities such as Magnetic Resonance Imaging (MRI) in structural MRI (sMRI) and resting state-functional MRI (rs-fMRI), the study applied … …Journal of Computer Science, Vol. 20, Issue 11 · 28 Sep 2024 · 5,087 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFeature Extraction Method for Improving Speech Recognition in Noisy EnvironmentsYoussef Zouhir, Kaïs OuniThe paper presents a feature extraction method, named as Normalized Gammachirp Cepstral Coefficients (NGCC) that incorporates the properties of the peripheral auditory system to improve robustness in noisy speech recognition. The proposed method is based on a second order low-pass filter and normalized gammachirp filterbank to emulate the mechanisms performed in the outer/middle ear and cochlea. The speech recognition performance … …Journal of Computer Science, Vol. 12, Issue 2 · 25 Mar 2016 · 7,866 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleWAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIXJeyanthi Prabhu, Jawahar Senthil KumarIn this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,627 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEfficient Feature Extraction Methodology using Wavelet Transform for the Development of Person Identification System using Iris BiometricsSulochana Sonkamble, Ravindra ThoolProblem statement: We proposed a new method for feature extraction of an Iris image for personal identification system. Approach: This study purposed a new approach to extract the features of region of interest using the wavelet transform. The extracted Iris region could be normalizing into a rectangular block of fixed dimensions. The Gabor wavelet transform techniques had been applied on … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,061 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA New Speaker Recognition System with Combined Feature Extraction TechniquesM. G. Sumithra, K. Thanuskodi, A. Helen Jenifer ArchanaProblem statement: This study introduces a new method for speaker verification system by fusing two different feature extraction methods to improve the recognition accuracy and security. Approach: The proposed system uses Mel frequency cepstral coefficients for speaker identification and Modified MFCC for verification. For speaker modeling vector quantization is used. Results: The proposed system was investigated the effect of the … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,424 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFixed Representative Colors Feature Extraction Algorithm for Moving Picture Experts Group-7 Dominant Color DescriptorAhmed Ibrahim, Ala'a Al-Zou'bi, Raed Sahawneh, Maria MakhadmehProblem statement: MPEG-7 has defined a set of color descriptors for the multimedia contents; one of these descriptors is the Dominant Color Descriptor (DCD). The DCD adopted the Generalized Lloyd Algorithm (GLA) as a feature extraction technique. However, using this algorithm in image retrieval systems may produce perceptually irrelevant images in the ranked results. Approach: In this study, we proposed … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,542 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleVulnerability Assessment of Power System Using Radial Basis Function Neural Network and a New Feature Extraction MethodAhmed M.A. Haidar, Azah Mohamed, Aini HussainVulnerability assessment in power systems is important so as to determine how vulnerable a power system in case of any unforeseen catastrophic events. This paper presents the application of Radial Basis Function Neural Network (RBFNN) for vulnerability assessment of power system incorporating a new proposed feature extraction method named as the Neural Network Weight Extraction (NNWE) for dimensionality reduction of … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,153 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFeature Extraction of Sit-to-Stand Transition Using Vision-Based Pose EstimationAchmad Rizal, Bayu Erfianto, Sugondo Hadiyoso, IstiqomahSit-to-Stand Transition (STS) and vice versa are important indicators of independence and physical health. For normal people, this movement is easy to do but can be difficult for people who have health problems, such as those who have had an injury or stroke. Sit-to-stand assessments can be used to detect spinal disorders. However, spinal kinematic measurements require special instrumentation and … …Journal of Computer Science, Vol. 21, Issue 3 · 21 Feb 2025 · 6,204 accessesView PDFCite