Search
443 articles for “Features extraction”
-
Visual Features based Paddy Leaf Disease Recognition, its Severity Detection and Remedy Prediction using K-means Clustering and AdaBoost
Abstract: AbstractAgriculture is a vital part of an economy. Paddy is one of the main food crops which play a major role in agricultural field. The gross national income of a country depends on paddy cultivation. But the production of paddy is damaged due to different types of paddy leaf diseases. Generally, farmers and agricultural experts identify diseases manually which is very ineffective and time consuming. So effective recognition, severity detection, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 41–52 Read article
-
A Review on MR Brain Image Segmentation Based on Different Techniques
Abstract: In past few years, the growth in Magnetic Resonance Imaging (MRI) provided a new way to detect and diagnose the brain related problems such as Alzheimer, schizophrenia and brain tumor. Many supervised and unsupervised techniques are available for image segmentation. In medical field supervised and unsupervised segmentation both are available but unsupervised is in more demand then supervised because it requires external assistance. Whereas unsupervised segmentation reflects better results. In …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 2, 2015 · pp. 9–14 Read article
-
An Approach to Recognizing Numerals and Alphabets Signs for Impaired People
Abstract: Abstract: Sign Language is the language used by deaf and dumb people for communication in their day to day life. Every nation has its own sign language. Indian people use Indian Sign Language. Generally, other sign languages such as ASL (American Sign Language) and BSL (British Sign Language) are single-handed sign language while ISL is the language which uses both hands to make signs. So, it is difficult to exactly …
Published in Journal of Open Source Developments · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
-
Optical Character Recognition in the computering
Abstract: In today's world, advances in advanced scientific techniques drive more human communication limits in different areas of technology. One of these areas is the field of character recognition known as OKR. A simple way to store and remove in formation in these paper documents is in the computer system and then stores them as images. In this fast paced world there is a great need to digitize printed documents and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
-
Indian Currency Recognition using Image Processing - A survey
Abstract: AbstractCurrency has the crucial role as a medium of exchange in which governments of many countries introduce it as banknotes and coins that is Indian Rupees. The technology of currency recognition aims for efficient classification of currency. In this project, we are basically detecting whether the currency is real or fake because for humans, after the circulation of currency, it becomes difficult to differentiate between the original and fake currency. …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 3, 2019 · pp. 6–10 Read article
-
Comparative Study of Bayes Net and Multilayer Perceptron Model using ECG Signals
Abstract: In recent days, heart abnormalities are common among people regardless of their age. Heart abnormalities must be detected and treated in very initial stage which protects people from major heart abnormalities. Sometimes, physician feels difficulty in classifying heart abnormalities from extracted features. This problem can be solved with an excellent data mining technique called classification. Classification is a data mining technique which is used to label tuples. In this paper …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 2, 2015 · pp. 14–17 Read article
-
Face Recognition Techniques: A Critical Review
Abstract: Humans have the ability to identify each other. Identification of a person by his facial image is known as face recognition. To identify a person by comparing image data or live capture with stored data is the biometric method of face recognition. A set of measureable and unique characteristics of a person can be used to recognize an individual automatically. To recognize a person automatically is one of the challenging …
Published in Recent Trends in Programming languages · Vol. 5, Issue 2, 2018 · pp. 24–30 Read article
-
Voting Based Classification Method for COVID-19 Prediction
Abstract: COVID-19 dataset comprises date, country, confirmed cases, recovered cases and total deaths. The data is integrated with climate data consisting of humidity, dew, ozone, perception, maximum temperature, minimum temperature, and UV. The artificial intelligence based COVID-19 diagnosis strategies can generate more accurate results, save radiologist time, and make the diagnosis process cheaper and faster than the usual laboratory techniques. The COVID-19 detection has various phases which include pre-processing, feature extraction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 34–41 Read article
-
Breast Cancer Detection Using Deep Learning
Abstract: Breast cancer, according to the Breast Cancer Institute, is one of the most difficult kinds of cancer that is extremely threatfulfor women all over the world. Early cancer discovery, followed by appropriate treatment, can help minimize the risk of deaths in the first stage of respective cancer only and increase the likelihood of survival by up to 8%. Medical imaging research has become increasingly reliant on machine learning and deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 33–42 Read article
-
An Interface for Communication for the Deaf Using Hand Gesture Recognition through Computer Vision and Natural Language Processing
Abstract: Hand gesture recognition is essential for conquering various challenges and improving human existence. A machine’s capacity to interpret human behaviors and their significance is being used in a large range of applications. Sign language recognition is one area of particular attention. This study will provide a deep analysis of use cases and technologies utilized now for current gesture recognition of hand, recognition of sign language, research done on it and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 25–40 Read article
-
Hand Gesture Recognition using Machine Learning and OpenCV
Abstract: People who are deaf or dumb use sign language to communicate with one another and within their own communities. The process of computer recognition of sign language begins with learning sign gestures and progresses until text or speech is generated. Static and dynamic sign gestures are the two categories. Although static gesture recognition is simpler to use than dynamic gesture recognition, both gesture recognition systems are essential to the survival …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 23–33 Read article
-
Sign Language Recognition Using Deep Learning
Abstract: People with hearing/speech disabilities use sign language to communicate their thoughts and feelings, but non-disabled people often find it hard to comprehend these hand gestures since they do not know sign language. This project aims to create a system that uses MediaPipe, LSTM and Keras for sign language recognition. The webcam will capture video footage of people performing sign language gestures, then MediaPipe will extract and identify the hand landmarks …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 35–43 Read article
-
Vehicle Insurance Fraud Detection Using Supervised Neural Network Model
Abstract: Vehicle insurance fraud is a serious problem that causes huge financial losses to insurance companies. In recent years, developing fraud detection models using machine-learning techniques has been of great interest. This study proposes a novel approach for vehicle insurance fraud detection using Supervised Neural network model on the Kaggle Vehicle Insurance Fraud Detection dataset. The initial step in this study involves performing data pre-processing and feature extraction on the dataset, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 32–39 Read article
-
Cyberattack Detection System in Private Cloud
Abstract: As cloud computing adoption in colleges continues to rise, the security of private cloud systems has become a paramount concern. Data breaches resulting from cyberattacks can inflict severe damage to a university's revenue and reputation. This research proposes a novel machine learning-based cyber threat detection system tailored to the university's private cloud environment. The system's main objective is to continuously monitor the cloud infrastructure and employ advanced machine learning algorithms …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 37–44 Read article
-
Keras Based Real-time Hand Gesture Recognition
Abstract: Everyone can communicate effectively with hand gestures. Hand gesture recognition, as opposed to the traditional text-based or GUI-based method, can be viewed as a way for computers to better grasp the language of the human body and develop richer human-computer connections. Hand gestures can help to simplify tasks by allowing you to give orders to the computer using simple hand movements. The camera records gestures, the computer interprets them, and …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 1, 2022 · pp. 10–16 Read article
-
A Novel Technique to Detect Plant Disease
Abstract: One of the important sectors of Indian Economy is Agriculture. Employment to almost 50% of the countries workforce is provided by Indian agriculture sector. India is known to be the world’s largest producer of pulses, rice, wheat, spices and spice products. Therefore, in field of agriculture, detection of disease in plants plays an instrumental role. Plants are highly prone to diseases that affect the growth of the plant, which in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 10–16 Read article
-
An Approach to Develop Secure Ear Biometric System
Abstract: Biometrics is now the significant identification process for security system. The futureof biometrics is surely leads to a system because the acquisition process for biometricsis very simple. Ear biometrics has an important role on biometrics system. Because it isa passive biometrics system which means that the user does not have to take active partin the whole process. The most interesting human anatomical parts for such passive,physiological biometrics systems based on …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 1–6 Read article
-
Application of Image Denoising through Comorbid Pixel Regularization Algorithm based on Neuro-Fuzzy Rule
Abstract: This study presents a novel approach of image denoising for medical images. Since, for medical diagnosis, action of object extraction plays a vital role but such jobs are limited with the visual observation and there is no denying from the fact that the medical images are subjected to noise which makes it difficult for the medical practitioner to extract features from such noisy images. Therefore, for accurate decisions it is …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 2, 2014 · pp. 7–11 Read article
-
Audio-Only Speaker Identification using Principal Component Analysis based Back-Propagation Learning Neural Network in Noisy Environment
Abstract: This paper introduces text dependent speaker identification system on Principal Component Analysis based Back-Propagation learning neural network which deals with detecting a particular speaker from a known populations under noisy environment. For audio pre-processing, ends point detection, silence parts removal, frame segmentation and windowing techniques have been used and wiener filter has been applied to remove the background noise from the audio speech utterances. To reduce the dimension of the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article
-
Dimensionality Reduction: A Brief Survey on Its Myriad Techniques
Abstract: This paper is a short survey and analysis on different techniques and methods using which efficiency of existing techniques can be improved which are used for data exploration, or search for those features which has deeper relationship amongst the variable, which relies on greater extent on visual methods. However, for multidimensional data set with real time data collected captured using sensors or real time applications, redundant and unused or wanted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 46–51 Read article