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443 articles for “Features extraction”
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Fault Identification by Wavelet Feature Extraction in Self Aligning Rolling Element Bearings Using Neural Networks
Abstract: This paper aims to present a comparison of different individual defects in self aligning ball bearings by the use of statistical tools and machine learning techniques like artificial neural network (ANN). The results generated are analyzed, and more realistic conformance to the theoretical observations has been drawn. Vibration analysis of a fault affected component gives a good understanding of machine diagnostics. Inner race and outer race defects have been studied …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 11–17 Read article
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A Novel Approach to Fingerprint Authentication Using Histogram Oriented Gradients for Feature Extraction and Machine Learning Convolution Neural Network for Classification
Abstract: With applied biometrics, it is possible to identify a person by examining a feature vector of attributes derived from their physical and behaviour characteristics. In biometrics, fingerprints have become one of the most famous and well known techniques of identification and authentication. In light of technological advancements and safety, fingerprint recognition has been successfully used in a variety of Civil, Defence, and Commercial applications for more than a decade. The …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 1–12 Read article
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Fingerprint Pre-processing and Features Extraction
Abstract: Fingerprint is broadly utilized biometric recognizable proof to distinguish the personality of a man due unwavering quality and adequacy. Identification based on biometric is a well-known technique that recognizes identity of a person. Fingerprint identification system contains pre-processing (PP), features extraction (FE) and matching. In this study, we discussed about pre-processing (PP) and features extraction (FE). The pre-processing steps contain in this study are segmentation, normalization, Gabor filter. The main …
Published in Journal of Advancements in Library Sciences · Vol. 5, Issue 3, 2018 · pp. 40–45 Read article
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Sentiment Analysis Using Hybrid Feature Extraction for Hotel Reviews
Abstract: Interpersonal interaction destinations have become well known and normal spots for sharing wide scope of feelings through short messages. These feelings incorporate satisfaction, pity, tension, dread, and so forth. Breaking down short messages helps in recognizing the conclusion communicated by the group. Feeling analysis on hotel audits recognizes the generally speaking sentimentor assessment communicated by a commentator towards an inn. Numerous specialists are dealing with pruning the notion investigation model …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 1, 2021 · pp. 22–30 Read article
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Survey Paper of Image Forensics based on Tampering Detection using Feature Extraction Technique
Abstract: AbstractThe digital images (DI) are becoming vital components in the field of statistics forensics and protection. Because of the popularity of picture enhancing tools, DI may be altered. Therefore, it is ought to create forensic strategies that are able to detect tampering in pictures. Image forensic (IF) is a vital part of many investigations. The numerous low-cost effective digital tools have enabled easy picture creation, change and distribution, which make …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 33–42 Read article
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Feature Extraction to Detect Diabetic Retinopathy and Glaucoma in Fundus Image
Abstract: Visual impairment due to various eye-related diseases can be largely prevented through regular fundus colour image screening. Large scale screening of the retinal image in the early stages is crucial to disease diagnosis. It is reported that the number of ophthalmologist ratios is very low. Hence, the computer-aided screening is required where the diagnosis of disease from an image is done from the main features of the fundus image. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 9–12 Read article
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Implementing Feature Extraction on Number Plates and Facial Features
Abstract: In this paper, we suggest a feature point extractor naming SURF Speeded Up Robust Features. It is mostly used for 3D images reconstruction, object identification & recognition. It performs in detecting adequate feature points in required region of interest thus making it much faster. This is performed on the basis of image convolutions and simplifying these convolutions to the necessary key points. The paper performed experiments on the various image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 28–37 Read article
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Facial Recognition System Based on Score-level Fusion of LBP and Gabor Feature Extraction Techniques
Abstract: Face recognition is gaining recognition over the last few decades. Nowadays, this technology is highly used in smartphones to unlock the phone by sensing the face of an individual. In our paper, we aim to maximize recognition rates by performing the score-level fusion of two feature extraction techniques: Local Binary Pattern (LBP) and Gabor features. These two techniques on fusion provide better recognition rates as compared to the recognition rates …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 10–14 Read article
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Moving Vehicle Speed Determination and Number Plate Recognition through Feature Extraction
Abstract: AbstractVelocity Estimation, instead of using complex algorithms, can be easily implemented on MATLAB by some simple calculations. Speed can also be tracked using the threshold values and thus concerned authorities can be notified using the Gmail interfacing. For real time applications, some advanced hardware should be used. Nowadays traffic is a very big problem in the urban areas that has to be addressed. Video monitoring is one of the latest …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 1–3 Read article
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Feature Extraction and Classification for Using Mammographic Images
Abstract: AbstractOne of the greatest threats prevailing among women is the breast cancer. According to the National Cancer Institute, 22% of new cases occur every year and it is considered to be the second most frequent type of cancer, worldwide. Mammogram is very important imaging technique that used diagnosis in early stages of breast cancer. Mammography is in this case the best diagnostic technique for screening, the radiology tool which gives …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 10–18 Read article
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A Novel Approach for Texture Feature Extraction to Retrieve Texture Images using Gray-Level Co-occurrence Matrix (GLCM)
Abstract: Image retrieval plays an important role in many of the areas. Content based image retrieval (CBIR) is used for browsing most similar images from the large database. Texture is an important characteristics used in identifying the region of interest or objects in an image. In this image retrieval method, texture method is used to extract the features and retrieves the similar images based on similarity of the features. In the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 32–36 Read article
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Ocean Surface Target Feature Extraction from Fused Multi-Polarized Bands of Sentinel-1 Data
Abstract: The introduction of new generation high-resolution SAR imagery helps in the effective monitoring of land and ocean surfaces. The SAR imagery acquired are often degraded by speckle noise which makes it difficult for quality interpretation mainly in ocean domain. Speckle reduction techniques are applied to these images to reduce the noise prior to other image processing tasks. In this paper, three different speckle reduction methods are applied both in VV …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 2, 2018 · pp. 10–16 Read article
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A Review on Different Techniques Used for Feature Extractions from Mammogram of Breast Cancer
Abstract: Breast cancer detection is still a complex and challenging problem. Mammogram contains low signal-to-noise ratio (SNR) and a complex structured background so identifying cancer tissues using this technique is a time consuming task even for expert radiologists. Therefore, there is still a need to enhance imaging in digital mammogram, where enhancement in medical imaging is the use of computers to make the image clearer. Studies show that relying on pure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 9–15 Read article
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Ocean Surface Features Extraction using Morphological Techniques from Sentinel-1A Data
Abstract: SAR (Synthetic Aperture Radar) imagery of the ocean surface obtained from remote sensinginstruments is one of the prominent research areas. In this paper, detection of oceanicfeatures from SAR using morphological technique is proposed. The detected surface featuresare presented in layered form. The main advantage of such representation is features can beeasily enabled or disabled on SAR image. Algorithm is tested on Sentinel-1A dataset of oceansurface.Keywords: SAR Images, Surface Features, Layered …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 1–4 Read article
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Contract and Feature Extraction of CBIR Method Using Soft Computing Techniques in Machine Learning
Abstract: There is expansion in size of picture securing and information capacity strategies and furthermore there is expansion in data set of pictures. Prior text-based depiction and manual comment of pictures were utilized for recovery of pictures that was a tedious errand. The need of great importance is to deal with the huge assortments through proficient frameworks called content-based picture recovery frameworks. For this situation visual items in the picture like …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 17–26 Read article
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Study of ECG Signal Features Extraction using Wavelet Transform: A Review
Abstract: QRS-complex detection is used for analysis of ECG signal. ECG gives the information about electrical activity of the heart Since an ECG is a non-stationary signal and consists of various types of noise such as baseline wander, power line interference and muscle noise. To eliminate such types of noise wavelet transform is used. Mother wavelet is widely used to extract information from these types of signal by denoising. This paper …
Published in Current Trends in Signal Processing · Vol. 4, Issue 2, 2014 · pp. 1–6 Read article
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CBIR using Feature Extraction approaches and Application: A survey
Abstract: Abstract—Content based-image retrieval (CBIR) is an extraordinarily foremost field of study at the moment. CBIR is a method which constructs use of visible facets of image corresponding to color, form, texture, and so on. CBIR technologies furnish an approach to discover images in enormous databases by way of using particular descriptors from an expert image. A lots of researches work had been accomplished prior to now decade to design resourceful …
Published in Journal Of Network security · Vol. 5, Issue 3, 2017 · pp. 9–16 Read article
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Comparative Analysis Between Librosa and OpenSMILE
Abstract: This research work focuses on comparative study of Librosa, a python-based library, and openSMILE, a C++ toolkit, with python bindings used in audio speech analysis. Librosa is ideal for beginners due to its simple structure and flexibility with strong integration with machine learning frameworks like TensorFlow and PyTorch. On the other hand, OpenSMILE is ideal for speech-centric tasks like speech-emotion recognition or paralinguistic studies, offering a wide range of pre-defined …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 06–10 Read article