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83 articles for “recognition rate”
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Automatic annotation of reading using Speech Recognition: A pilot study
Abstract: Speech is a time-varying continuous stimulus. Analyzing a speech sample is generally done by transcribing it which can be considered to be a time-consuming process. A time annotated transcription is required for a detailed evaluation of the speech sample to study the language and prosodic features. The focus of this paper is to develop a tool to automatically segment audio recordings into silences and chunks of speech corpus and further …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 2, 2018 · pp. 25–29 Read article
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Automatic Facial Recognition Using Adaptive Modelling of Illumination Field for Shape Recovery of Micro Facial Features
Abstract: In this study, we present an innovative framework to resolve the issue of confounding effects caused by variation of illumination in the scenario of face recognition. The proposed framework involves a mathematically modelled adaptive algorithm which augments the pixels sets of facial images with realistically simulated illumination field. This enhances the recognition rate and subsequently its performance in a way independent of classifier mode for each of its facial parameters. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 19–24 Read article
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Palm Print Recognition Based on PCA and Its Variants
Abstract: In present era, automatic personal recognition is a serious problem that needs to be overcome properly. Palm print recognition is one of the most reliable and successful biometric solutions due to its numerous advantages such as stable line features, low resolution imaging, low cost capturing device, being non-intrusive and user friendly. In this article, performance comparisons of palm print recognition techniques based on subspace approaches (PCA, 2DPCA, 2D²PCA) have been …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 7–14 Read article
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Overview of Face Detection and Expression Recognition by LBPH
Abstract: This paper gives an overview of facial expression recognition and face detection by LBPH technique, in this work facial expression will identify basic human expressions such as happy, disgust, anger, neutral, sadand surprise. To specify the visual pattern and its various aspects, we employ vector for face identification a local binary pattern histogram (LBPH) and a Haar-cascade classifier are utilized. This paper will explain about face detection and expression recognition …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 2, 2023 · pp. 12–17 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article
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Performance Analysis of Fusion Classifier of Face Recognition System based on ANN and GA
Abstract: Though a lot of significant work has been done for recognizing and improving the performance in facial pattern, most techniques have been developed based on a single classifier. But most often, the performance of the classifier is not satisfactory in some case. It has been proposed that the performance of face recognition will beimproved by fusing two or more classifiers. We can combine the information/data in different level i.e., feature …
Published in Current Trends in Information Technology · Vol. 4, Issue 1, 2014 · pp. 4–13 Read article
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Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article
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Failed Component Image Acquisition Quality Optimization for Machine Vision System
Abstract: AbstractWith the rapid development of the global semiconductor industry, electronic products are required to have new ideas, diversified functions, and thinness and shortness. The ball grid array (BGA) packaging technique arranges solder balls in a matrix mode on the bottom of the component substrate, so as to increase the functional density. The dye stain test is extensively used for array component failure analysis; however, the operation takes time and extends …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 17–25 Read article
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Optimized Text Extraction and E-Repository Development of Hindi and Punjabi Documents Using OCR and NLP Techniques
Abstract: Increase in digitalization of content in the form of text content necessitates powerful document and text extraction systems, particularly for Indian languages such as Hindi and Punjabi. The existing Optical Character Recognition (OCR) solutions support major scripts such as English, leaving a research opportunity for effective recognition of Devanagari and Gurmukhi scripts. This study recommends a modified text extraction algorithm based on Tesseract OCR, accompanied by preprocessing steps of conversion …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 35–43 Read article
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Finding Color Blindness Using Ishihara Algorithm
Abstract: This paper is aimed to develop a back propagation artificial neural network (ANN) model that could distinguish crop plants from weeds. Although only the color indices associated with image pixels were used as inputs, it was assumed that the ANN model could develop the ability to use other information, such as shapes, implicit in these data. The 756x504 pixel images were taken in the field and were then cropped to …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 1, 2015 · pp. 1–14 Read article
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Android Based Recognition of Nutrition Intake with Piezoelectric Sensor
Abstract: Ingestion rate, food intake level; these are the factors which are responsible for overweight. We design a system for the user which gives feedback about his eating habits. The sensor used here to detect swallows is MEAS piezoelectric sensor. This sensor is placed against throat. This system classifies food types in broad categories like liquid and solid food by using sensor data and also the application is developed which gives …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 2, 2016 · pp. 7–11 Read article
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Integrated Qualitative Response Assessment System
Abstract: Examinations for universities and yearboards are traditionally administered offline, with a significant number of students opting for subjective exams. This preference stems from the labor-intensive nature of evaluating subjective responses, which requires considerable time and effort from educators. Additionally, subjective grading can be influenced by the evaluator’s mood, leading to inconsistencies. In contrast, multiple-choice and objective questions are prevalent in entrance and competitive exams due to their ease of automated …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 18–24 Read article
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Fuzzy Variable Frame Analysis for Speech Recognition
Abstract: AbstractRecent works in machine learning has focused on models such as support vector machine (SVM), artificial neural network (ANN) and long short-term memory (LSTM), for automatically controlling the generalization and parameterization of the optimization process. This paper presents a fuzzy interpretation frame analysis procedure using LSTM classifier for noisy speech at word level using thresholding and local maxima procedure at framing level for the recognition process. Front end MFCC procedure …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 9–18 Read article
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Optical/Handwritten Data Recognition
Abstract: For many years, optical character recognition (OCR) has been a hot topic. It's the process of breaking down a document image into its individual characters. Despite decades of intensive research, producing OCR with human-like skills is still a work in progress. The industries have long used localization and recognition of written characters for a number of applications. When working in a sterile environment, such as scanners or static settings, most …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 22–31 Read article
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Discrete Hidden Markov Model based Face Recognition System Introducing Sustainability of Uneven Lighting Distortion
Abstract: The aim of this work is to enhance the performance of appearance based face recognition system to remove the uneven lighting effect which is generally occurred in natural environment. Active Shape Model has been used to detect the facial shape and contrast based edge detection technique has been applied to reduce the uneven lighting problem. Linear Discriminant Analysis has been used to reduce the dimension of the facial feature vector. …
Published in Trends in Electrical Engineering · Vol. 4, Issue 1, 2014 · pp. 9–16 Read article
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Inter-satellite Optical Wireless Communication (IsOWC) System Design: A Study
Abstract: AbstractLaser communication links in space are attractive alternatives to present day microwave links. Space communication as employed in satellite to satellite link is traditionally performed using microwaves. High capacity inter-satellite communication crosslinks will permit more efficient and more reliable operation of future satellite systems. The mass, power consumption and size of optical transceiver module will be smaller than that of a microwave transceiver. On the other hand, inter-satellite communication is …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 20–24 Read article
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Forensic Face Portrait Fabrication and Identification
Abstract: In today's world, the general crime rate is increasing by the day, and law enforcement agencies must discover ways to speed up the overall process and assist them in bringing criminals to justice. Face recognition technology, for example, might be used to identify and authenticate the perpetrator. The traditional strategy is to employ forensic sketch artists' hand-drawn face sketches to identify the offender; updating this would necessitate identifying the culprit …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 21–30 Read article
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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
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Design And Implementation Of A Multi-Modal Mobile Application Safety Analytics Utilizing Nlp
Abstract: This study suggests a multi-modal mobile app safety analytics platform that uses natural language processing (NLP) to handle voice, text, and SOS messages. For effective intent recognition and decision-making, the platform processes all messages in a standard text or SOS flag format. Tokenization and normalization are used to process text communications, whereas noise reduction and text conversion are used to handle voice messages. For a quicker response, the SOS messages …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Automatic Number Plate Recognition Based Image Processing
Abstract: In most countries, traffic control and vehicle owner identification have become important problems. It is almost impossible to identify vehicle owners who break rules of the traffic, especially those driving at high speeds. Another problem inhibits traffic officers from catching the offenders in most cases because solving traffic offenders involves retrieving license plate numbers from fast-moving vehicles. Automatic Number Plate Recognition (ANPR) systems have been developed as an effective solution …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 33–40 Read article