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83 articles for “recognition rate”
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Improved Face Recognition Rate Based on PCA and LDA Using Image Preprocessing Techniques
Abstract: Principal component analysis (PCA) and linear discriminant analysis (LDA) are two powerful tools utilized for dimensionality reduction and feature extraction in most of pattern recognition applications. PCA selects features important for class representation while LDA algorithm selects features that are most effective for class separability. This paper carries out a comparative study of the two important algorithms in the context of enhancement obtained using certain image preprocessing techniques. The implementation …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 2, 2015 · pp. 19–24 Read article
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Face Recognition Practices for Partial Occlusion: A Survey
Abstract: Over the years, biometrics has gained unparalleled popularity in digital medium and has proven its usefulness for several applications concerned with the threats and crime or security purposes. Face recognition is a widely emerging biometric for automating the surveillance, as it has aid in strengthening the security from several types of terrorist or criminal threats. However, there are several face recognition techniques which are categorized based on its error rates …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 4–14 Read article
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Performance Evaluation of PCA Based Back Propagation over PCA Based Euclidian Distance for Video Images
Abstract: Key frame selection aims at reducing amount of data and retrieve information desired from a video. Video summarization aims at reducing the amount of data in order to retrieve information from a video. In this paper, we present an innovative approach for key frame selection; and a face detection and recognition from video sequence. For face detection from video, first we select the key frames and then detect multiple faces …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 24–31 Read article
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Iris and Retina Recognition based Multimodal Person Identification System
Abstract: Nowadays we are living in such an era of science where authentication has become one of the greatest challenges in the thorny issue of security. There are many ways in which authentication can be provided, but among them biometric authentication is indispensable. Among all the biometrics in use today the highest level of uniqueness, performance, universality and circumvention are provided by eye based biometrics (i.e., iris and retina recognition). This …
Published in Current Trends in Information Technology · Vol. 5, Issue 1, 2015 · pp. 22–28 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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Various Edge Detection Techniques for Efficient Gait Recognition System
Abstract: AbstractGait recognition system is one of major security concerns for moving objects in biometric authentication. In this paper, various edge detection techniques for converting a gait image into edge image for recognition purpose are discussed. It is also useful for efficient image segmentation. Efficient Image segmentation technique plays an important role for improving recognition rate as well as recognition time. This survey work is helpful for making an efficient gait …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 17–20 Read article
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Unsupervised Learning Techniques in Neural Network for Face Recognition
Abstract: This paper represents the review of systematic comparison between of unsupervised learning algorithms for face recognition. In neural network, different algorithms are used for face recognition. Each algorithm has different accuracy factors. Commonly these methods asset a set of base images and serve faces as linear combo of images. In our proposed review, firstly we discuss about the face detection using neural network along with the concept of digital image …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 25–29 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Gait Based Person Identification Using Kohonen Self-Organizing Mapping Technique
Abstract: Though gait recognition system has some special security features, it has some limitations like viewing angle variation, slow or fast walk and carrying a bag etc. This paper has an advantage of removing these limitations by using gait energy image with Kohonen self-organizing mapping technique. This model proposes the method that is developed by Partial least square (PLS) used for features selection and singular value decomposition (SVD) used for dimensionality …
Published in Current Trends in Information Technology · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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Smart Electronic Real Time Text Recognition Application
Abstract: AbstractThe area of application of optical character recognition has been expanded in the last few years. There are many techniques which exist and provide high recognition rate, but it consumes time in training the network. Various mobile applications have been designed for optical character recognition (OCR) in Android platform and iOS platform. The limitation of such application is computation ability of mobile processor. This paper proposes a framework of optical …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 3, 2017 · pp. 1–7 Read article
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Hybrid HMM/ANN Models for Improving Offline Handwritten Text Recognition
Abstract: AbstractIn this approach, it proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing the unconstrained offline handwritten texts. Handwritten image normalization from a scanned image includes several steps, usually it begin with image cleaning, page skew correction, and line detection. For handwritten text line image several pre-processing steps to reduce variation in writing style are performed like slope and slant removal and character size …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 16–23 Read article
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Palm Recognition Using Hybrid Algorithm
Abstract: Biometric system is becoming more popular and increasingly important, since they provide more reliable and accurate means of identification. Now a days biometrics system is used almost everywhere for identification. In Japan, banks have used the palm vein authentication technology for customer identification since July 2004. In addition, Fujitsu has integrated the technology into the access control of electronic door lock systems. Their system has a false acceptance rate of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 12–19 Read article
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A Robust and Real Time Approach for Scene Text Localization and Recognition in Image Processing
Abstract: The text localization and recognition in real-time scene text images is still a big issue in current applications. Mobile application and digitization in real world gives a vital and broad impact on real-time scene text images. However, the efficiency of recognition rate depends upon the text localization, i.e., higher the purity of text background segmentation and decomposition, higher the rate of accuracy for the image recognition. In this paper is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 3, 2015 · pp. 16–22 Read article
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A Novel Approach of Gait Recognition Using LDA, PAL and Neural Network Technique
Abstract: Gait recognition is one type of biometric technology that can be used to the monitor person without their any cooperation. Controlled atmospheres for example; military installations, banks and even airports required to be able to rapidly detect threats and give differing stages of access to various customer groups. Gait presents a specific way or moving manner on the foot and gait recognition is the recognizing procedure an individual through the …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 27–35 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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Connected Component Based Efficient Gait Recognition System
Abstract: AbstractGait recognition is one of the major security concerns for biometric authentication. In this work, an efficient gait recognition system using connected component based segmentation algorithm is proposed. This proposed system works on two different sub-phases, named as extraction phase and recognition phase. In the extraction phase, connected component based segmentation algorithm is applied on different gait images, taken from different sources and with the help of threshold value, decided …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 13–16 Read article
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Analysis of Side View Face Recognition Using Gabor Filter and PCA Techniques
Abstract: AbstractRecognition of human side face is being a dynamic research area in recent era. A different system for face recognition including side view confront has been proposed in this paper. Face recognition utilizing blocked face or using a small portion of the face is still an issue in human recognition which has incredible potential in criminological and security applications. The paper gives a concise thought regarding PCA and 2DGF systems …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 21–27 Read article
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Online Handwritten Kannada Character Recognition and Translation to English
Abstract: Abstract—The objective of the paper is to develop a technique that can efficiently recognize hand-written characters of Kannada language and then translate the same to English language. Online recognition refers to the processing of the characters as and when it is written on digitizer and recognizes the class which it belongs to. The iball 5540U Pen Tablet is used to collect the handwritten character samples and to build the database. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 37–53 Read article
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Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article
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Adaptive Facial Recognition Algorithm For Partially Occlude Images
Abstract: In the present study we present an innovative approach towards countering the problem of partial occlusion in face recognition scenario. The partial occlusion can be caused by various objects such as scarfs, sunglasses etc., and its effects are confounding in the performances of the recognition rates. The framework tends to mathematically model the curvature and other essential features of the face such as micro-expression and the curves of the facial …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 1, 2015 · pp. 25–32 Read article