Log in

Relevant bibliographies by topics / Fisherfaces / Journal articles

To see the other types of publications on this topic, follow the link: Fisherfaces.

Journal articles on the topic 'Fisherfaces'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Fisherfaces.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Martinez, Aleix. "Fisherfaces." Scholarpedia 6, no. 2 (2011): 4282. http://dx.doi.org/10.4249/scholarpedia.4282.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Delgado-Gomez, David, Jens Fagertun, Bjarne Ersbøll, Federico M. Sukno, and Alejandro F. Frangi. "Similarity-based Fisherfaces." Pattern Recognition Letters 30, no. 12 (2009): 1110–16. http://dx.doi.org/10.1016/j.patrec.2009.04.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Yang, Jian, Jing-yu Yang, and Alejandro F. Frangi. "Combined Fisherfaces framework." Image and Vision Computing 21, no. 12 (2003): 1037–44. http://dx.doi.org/10.1016/j.imavis.2003.07.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Salunke, Rupali Sunil. "Face Recognition using Fisherfaces." International Journal for Research in Applied Science and Engineering Technology 7, no. 10 (2019): 263–67. http://dx.doi.org/10.22214/ijraset.2019.10039.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Amalia, Nurul. "Perbandingan Algoritma Fisherface dan Algoritma Local Binary Pattern Untuk Pengenalan Wajah." TIN: Terapan Informatika Nusantara 2, no. 12 (2022): 690–704. http://dx.doi.org/10.47065/tin.v2i12.1568.

Full text

Abstract:

Face recognition system is a system used to detect facial images, which is used to provide accuracy in a system used for access control for facilities that require such a security system. However, it is not uncommon to find problems in the face recognition process, such as the difficulty of the system to recognize faces if similar training data are found. In addition, there are difficulties in the face recognition process due to the lack of the number of images and/or poses of the training data images which results in the system not being optimal in recognizing faces. Several methods were prop

APA, Harvard, Vancouver, ISO, and other styles

6

Belhumeur, P. N., J. P. Hespanha, and D. J. Kriegman. "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection." IEEE Transactions on Pattern Analysis and Machine Intelligence 19, no. 7 (1997): 711–20. http://dx.doi.org/10.1109/34.598228.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Gozdur, Jakub, Bartosz Wiśniewski, and Piotr Kopniak. "Porównanie skuteczności wybranych algorytmów rozpoznawania twarzy w przypadku zdjęć o niskiej jakości." Journal of Computer Sciences Institute 10 (March 30, 2019): 67–70. http://dx.doi.org/10.35784/jcsi.210.

Full text

Abstract:

Celem artykułu jest określenie skuteczności popularnych algorytmów rozpoznawania twarzy w przypadku zdjęć o niskiej jakości. W trakcie pracy zostały opisane podstawowe algorytmy rozpoznawania twarzy takie jak LBPH, Eigenfaces i Fisherfaces. Do przeprowadzenia badań stworzono platformę badawczą wyposażona w oprogramowanie pozwalające testować dane i zbierać wyniki. Rezultaty badań pokazała, że jedynym algorytmem nadającym się do takich rozwiązań jest LBPH. Pozostałe natomiast nie uzyskały odpowiednio wysokiego współczynnika skuteczności.

APA, Harvard, Vancouver, ISO, and other styles

8

Shyam, Radhey, and Yogendra Narain Singh. "Multialgorithmic Frameworks for Human Face Recognition." Journal of Electrical and Computer Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/4645971.

Full text

Abstract:

This paper presents a critical evaluation of multialgorithmic face recognition systems for human authentication in unconstrained environment. We propose different frameworks of multialgorithmic face recognition system combining holistic and texture methods. Our aim is to combine the uncorrelated methods of the face recognition that supplement each other and to produce a comprehensive representation of the biometric cue to achieve optimum recognition performance. The multialgorithmic frameworks are designed to combine different face recognition methods such as (i) Eigenfaces and local binary pa

APA, Harvard, Vancouver, ISO, and other styles

9

Brito, Alejandro E. "Applying the eigenfaces and Fisherfaces methods to circuit-board inspection." Optical Engineering 39, no. 12 (2000): 3154. http://dx.doi.org/10.1117/1.1327840.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Alvarado, Gabriel Jarillo, Witold Pedrycz, M. Reformat, and Keun-Chang Kwak. "Deterioration of visual information in face classification using Eigenfaces and Fisherfaces." Machine Vision and Applications 17, no. 1 (2006): 68–82. http://dx.doi.org/10.1007/s00138-006-0016-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Wang, Jian-Gang, Eng Thiam Lim, Xiang Chen, and Ronda Venkateswarlu. "Real-time Stereo Face Recognition by Fusing Appearance and Depth Fisherfaces." Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 49, no. 3 (2007): 409–23. http://dx.doi.org/10.1007/s11265-007-0093-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Diego, Cale, Chimbo Verónica, Paz-Arias Henry, and Javier Barriga-Andrade Jhonattan. "People Recognition for Loja ECU911 applying artificial vision techniques." Latin-American Journal of Computing 3, no. 1 (2016): 27–34. https://doi.org/10.5281/zenodo.5748519.

Full text

Abstract:

This article presents a technological proposal based on artificial vision which aims to search people in an intelligent way by using IP video cameras. Currently, manual searching process is time and resource demanding in contrast to automated searching one, which means that it could be replaced. In order to obtain optimal results, three different techniques of artificial vision were analyzed (Eigenfaces, Fisherfaces, Local Binary Patterns Histograms). The selection process considered factors like lighting changes, image quality and changes in the angle of focus of the camera. Besides, a litera

APA, Harvard, Vancouver, ISO, and other styles

13

YANG, JIAN, JING-YU YANG, ALEJANDRO F. FRANGI, and DAVID ZHANG. "UNCORRELATED PROJECTION DISCRIMINANT ANALYSIS AND ITS APPLICATION TO FACE IMAGE FEATURE EXTRACTION." International Journal of Pattern Recognition and Artificial Intelligence 17, no. 08 (2003): 1325–47. http://dx.doi.org/10.1142/s0218001403002903.

Full text

Abstract:

In this paper, a novel image projection analysis method (UIPDA) is first developed for image feature extraction. In contrast to Liu's projection discriminant method, UIPDA has the desirable property that the projected feature vectors are mutually uncorrelated. Also, a new LDA technique called EULDA is presented for further feature extraction. The proposed methods are tested on the ORL and the NUST603 face databases. The experimental results demonstrate that: (i) UIPDA is superior to Liu's projection discriminant method and more efficient than Eigenfaces and Fisherfaces; (ii) EULDA outperforms

APA, Harvard, Vancouver, ISO, and other styles

14

Popoola, J. A., and C. O. Yinka-Banjo. "Comparative analysis of selected facial recognition algorithms." Nigerian Journal of Technology 39, no. 3 (2020): 896–904. http://dx.doi.org/10.4314/njt.v39i3.31.

Full text

Abstract:

Systems and applications embedded with facial detection and recognition capabilities are founded on the notion that there are differences in face structures among individuals, and as such, we can perform face-matching using the facial symmetry. A widely used application of facial detection and recognition is in security. It is important that the images be processed correctly for computer-based facial recognition, hence, the usage of efficient, cost-effective algorithms and a robust database. This research work puts these measures into consideration and attempts to determine a cost-effective an

APA, Harvard, Vancouver, ISO, and other styles

15

Dubovečak, Mario, Emil Dumić, and Andrija Bernik. "Face Detection and Recognition Using Raspberry PI Computer." Tehnički glasnik 17, no. 3 (2023): 346–52. http://dx.doi.org/10.31803/tg-20220321232047.

Full text

Abstract:

This paper presents a face detection and recognition system utilizing a Raspberry Pi computer that is built on a predefined framework. The theoretical section of this article shows several techniques that can be used for face detection, including Haar cascades, Histograms of Oriented Gradients, Support Vector Machine and Deep Learning Methods. The paper also provides examples of some commonly used face recognition techniques, including Fisherfaces, Eigenfaces, Histogram of Local Binary Patterns, SIFT and SURF descriptor-based methods and Deep Learning Methods. The practical aspect of this pape

APA, Harvard, Vancouver, ISO, and other styles

16

Jeong, Gu-Min, and Sang-Il Choi. "Performance evaluation of face recognition using feature feedback over a number of Fisherfaces." IEEJ Transactions on Electrical and Electronic Engineering 8, no. 6 (2013): 541–45. http://dx.doi.org/10.1002/tee.21848.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

ZHANG, WENCHAO, SHIGUANG SHAN, XILIN CHEN, and WEN GAO. "LOCAL GABOR BINARY PATTERNS BASED ON MUTUAL INFORMATION FOR FACE RECOGNITION." International Journal of Image and Graphics 07, no. 04 (2007): 777–93. http://dx.doi.org/10.1142/s021946780700291x.

Full text

Abstract:

Appropriate representation is one of the keys to the success of face recognition technologies. In this paper, we present a novel face representation approach using a reduced set of local histograms based on Local Gabor Binary Patterns (LGBP). In the proposed method, a face image is first represented by the LGBP histograms which are extracted from the LGBP images. Then, the local LGBP histograms with high separability and low relevance are selected to obtain a dimension-reduced face descriptor. Extensive experimental results demonstrate that the proposed method not only greatly reduces the dime

APA, Harvard, Vancouver, ISO, and other styles

18

Kodirov, Ahkhmadkhon, Abdumukhtar Umarov, and Abdumalikjon Rozaliyev. "ANALYSIS OF FACIAL RECOGNITION ALGORITHMS IN THE PYTHON PROGRAMMING LANGUAGE." Al-Farg'oniy avlodlari 1, no. 4 (2023): 197–205. https://doi.org/10.5281/zenodo.10337865.

Full text

Abstract:

Facial recognition technology has revolutionized the way we interact with the world around us. From unlocking smartphones to identifying individuals in security footage, facial recognition algorithms have become an integral part of our daily lives. However, with the increasing sophistication of facial recognition technology, it is crucial to critically evaluate its performance and potential implications. This article delves into the analysis of facial recognition algorithms in the Python programming language, exploring their accuracy, efficiency, and broader considerations for responsible impl

APA, Harvard, Vancouver, ISO, and other styles

19

ZHANG, CHENGYUAN, QIUQI RUAN, and YI JIN. "FUSING GLOBAL AND LOCAL COMPLETE LINEAR DISCRIMINANT FEATURES BY FUZZY INTEGRAL FOR FACE RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 07 (2008): 1427–45. http://dx.doi.org/10.1142/s0218001408006806.

Full text

Abstract:

Face recognition becomes very difficult in a complex environment, and the combination of multiple classifiers is a good solution to this problem. A novel face recognition algorithm GLCFDA-FI is proposed in this paper, which fuses the complementary information extracted by complete linear discriminant analysis from the global and local features of a face to improve the performance. The Choquet fuzzy integral is used as the fusing tool due to its suitable properties for information aggregation. Experiments are carried out on the CAS-PEAL-R1 database, the Harvard database and the FERET database t

APA, Harvard, Vancouver, ISO, and other styles

20

Ramos, Anna Liza A., Paolo A. Buenafe, Evander Keannu C. Cabrales, Jasreel D. Teñido, and Shaina O. Portas. "Filipino based Facial Emotion Features Datasets using Haar-Cascade Classifier and Fisherfaces Linear Discriminant Analysis Algorithm." Innovatus 2, no. 1 (2019): 47–53. https://doi.org/10.5281/zenodo.5209549.

Full text

Abstract:

Emotion detection is one of emerging topics in the field of research. In fact, various studies conducted utilized the available datasets – applying different methodologies and implementing the best suited algorithms to improve the classification performance and increase the recognition rate. This study aims to apply the Filipino-based facial emotion features through the revalidation of the available features in Visage Cloud API. It served as a basis in determining how the emotion differs from the expert’s validation and testing through the WEKA tool. The validation mainly checked t

APA, Harvard, Vancouver, ISO, and other styles

21

HUANG, HONG, JIANWEI LI, and HAILIANG FENG. "SUBSPACES VERSUS SUBMANIFOLDS: A COMPARATIVE STUDY IN SMALL SAMPLE SIZE PROBLEM." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 03 (2009): 463–90. http://dx.doi.org/10.1142/s0218001409007168.

Full text

Abstract:

Automatic face recognition is a challenging problem in the biometrics area, where the dimension of the sample space is typically larger than the number of samples in the training set and consequently the so-called small sample size problem exists. Recently, neuroscientists emphasized the manifold ways of perception, and showed the face images may reside on a nonlinear submanifold hidden in the image space. Many manifold learning methods, such as Isometric feature mapping, Locally Linear Embedding, and Locally Linear Coordination are proposed. These methods achieved the submanifold by collectiv

APA, Harvard, Vancouver, ISO, and other styles

22

Cadena, José, Manuel Villa, Maira Martínez, Jaime Acurio, and Luis Chacón. "An Efficient Technique for Global Facial Recognition using Python and OpenCV in 2D Images." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 18 (March 23, 2023): 47–57. http://dx.doi.org/10.37394/23203.2023.18.5.

Full text

Abstract:

The present work is an investigation that deals with the use of efficient techniques for global facial recognition using Python and OpenCV carried out in the Information Systems career of the Faculty of Engineering and Applied Sciences of the Technical University of Cotopaxi. We work with a database of 2D faces corresponding to the students of the Information Systems career that served for the analysis and comparison of the three techniques used (Fisherfaces, EigenFaces, LBPH). The objective of our work is to determine an efficient technique that contributes to the area of global facial recogn

APA, Harvard, Vancouver, ISO, and other styles

23

Lionnie, Regina, Mochamad Miftakhul Huda, and Mudrik Alaydrus. "Illumination Invariant Face Recognition." Jurnal Telekomunikasi dan Komputer 10, no. 3 (2020): 129. http://dx.doi.org/10.22441/incomtech.v10i3.8466.

Full text

Abstract:

Face recognition adalah bidang penelitian yang selalu menjadi topik penelitian dengan peminatan yang sangat besar. Berbagai potensial pengembangan aplikasi, dari sistem keamanan individu hingga untuk sistem control dan sistem surveillance. Algoritma pengenalan wajah telah diusulkan oleh banyak peneliti. Metode pengenalan wajah dengan performa yang baik seperti eigenfaces, fisherfaces, jaringan saraf tiruan, elastic bunch graph matching, laplacian faces, dan lainnya. Performa dari algoritma ini awalnya diuji pada gambar wajah yang dikumpulkan di bawah lingkungan kontrol yang baik pada kondisi s

APA, Harvard, Vancouver, ISO, and other styles

24

Zavala, Christiam Xavier Núñez, Cristian Rolando Cuvi Mocha, Manuel David Isin Vilema, MARIA EMILIA ZARATE FONSECA, and Ruth Tatiana Fonseca Morales. "Python Control System For Detection And Tracking Of Objects With Quadcopter Using Computer Vision." International Journal of Environmental Sciences 11, no. 6s (2025): 723–35. https://doi.org/10.64252/5anjqg81.

Full text

Abstract:

The research focused on the development of a control system in Python for the detection and tracking of objects using a low-cost quadcopter, based on artificial vision as a contribution in the educational field. The aim was to test the hypothesis that it is possible to implement these functions without resorting to expensive and proprietary drones. The methodology was divided into two stages: face detection and recognition, and quadcopter position control. In the first stage, the Haar cascade algorithm was used for face detection and the LBPH, FisherFaces and Eigenfaces models were evaluated f

APA, Harvard, Vancouver, ISO, and other styles

25

Spulak, David, Richard Otrebski, and Wilfried Kubinger. "Evaluation of PCA, LDA and Fisherfaces in Appearance-based Object Detection in Thermal Infra-red Images with Incomplete Data." Procedia Engineering 100 (2015): 1167–73. http://dx.doi.org/10.1016/j.proeng.2015.01.480.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Dirin, Amir, Nicolas Delbiaggio, and Janne Kauttonen. "Comparisons of Facial Recognition Algorithms Through a Case Study Application." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 14 (2020): 121. http://dx.doi.org/10.3991/ijim.v14i14.14997.

Full text

Abstract:

<p class="affiliations"><strong>Abstract— </strong>Computer visions and their applications have become important in contemporary life. Hence, researches on facial and object recognition have become increasingly important both from academicians and practitioners. Smart gadgets such as smartphones are nowadays capable of high processing power, memory capacity, along with high resolutions camera. Furthermore, the connectivity bandwidth and the speed of the interaction have significantly impacted the popularity of mobile object recognition applications. These developments in addi

APA, Harvard, Vancouver, ISO, and other styles

27

Prasad, Lakshmi. "Face Detection under Hostile Circumstances using Innovative Robust Methods." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 1032–40. http://dx.doi.org/10.22214/ijraset.2024.61753.

Full text

Abstract:

Abstract: An attendance system is crucial for monitoring student presence in classes, with various methods available such as biometric, RFID card, face recognition, and traditional paper-based systems. Among these, face recognition stands out for its security and efficiency. This research focuses on enhancing the face recognition attendance system's accuracy by minimizing false positives through a confidence threshold based on the Euclidean distance metric. The Local Binary Pattern Histogram (LBPH) algorithm outperforms other distance-based methods like Eigenfaces and Fisherfaces due to its ro

APA, Harvard, Vancouver, ISO, and other styles

28

Li, Qianmu, Tao Li, Bin Xia, et al. "FIRST: Face Identity Recognition in SmarT Bank." International Journal of Semantic Computing 10, no. 04 (2016): 569–91. http://dx.doi.org/10.1142/s1793351x16400213.

Full text

Abstract:

The rapid development of information era has influenced to realize the notion of Smart Bank via approaches like paperless services and interactive self-service systems. Since the traditional methods of identity verification are insecure and cumbersome for supporting these services, Smart Bank has been questioned. To overcome the limitations of current identity verification, it is imperative to explore an effective recognition strategy considering the trade-off between security and customer experience, which can conveniently collect identity information and accurately distinguish people. Howeve

APA, Harvard, Vancouver, ISO, and other styles

29

Jay, Singh, and Prakash Patidar Chandra. "Performance Evaluation of Identity Based Face Recognition Models in IoT Based Smart Home." International Journal of Science, Mathematics and Technology Learning 33, no. 1 (2025): 1112–23. https://doi.org/10.5281/zenodo.15493464.

Full text

Abstract:

In recent years, the field of image recognition has been significantly advanced by deep learning, which offers highly effective techniques for feature extraction and classification. Face detection and recognition is a fundamental computer vision technology that enables systems to automatically identify and locate human faces in digital images or video frames. It supports a wide range of applications, including surveillance, facial recognition, and emotion analysis. OpenCV, a widely used open source computer vision library, provides an extensive suite of tools and pre-trained models that stream

APA, Harvard, Vancouver, ISO, and other styles

30

Niño Rondón, Carlos Vicente, Yesenia Restrepo Chaustre, and Sergio Alexander Castro Casadiego. "Machine learning models in people detection and identification." Ingeniería Solidaria 18, no. 3 (2022): 1–23. http://dx.doi.org/10.16925/2357-6014.2022.03.05.

Full text

Abstract:

Introduction: This article is the result of research entitled "Development of a prototype to optimize access conditions to the SENA-Pescadero using artificial intelligence and open-source tools", developed at the Servicio Nacional de Aprendizaje in 2020. Problem: How to identify Machine Learning Techniques applied to computer vision processes through a literature review? Objective: Determine the application, as well as advantages and disadvantages of machine learning techniques focused on the detection and identification of people. Methodology: Systematic literature review in 4 high-impact bib

APA, Harvard, Vancouver, ISO, and other styles

31

Srivastava, Vaibhav, Manish Sundevesha, Pradeep Shrivastav, and Prof Kirti Randhe. "To Count the Person in The Classroom with Identity by Using IoT Technique." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 1968–73. http://dx.doi.org/10.22214/ijraset.2022.42493.

Full text

Abstract:

Abstract: In Todays time, when maintaining the classes and scheduling time for students of respective subject is dynamically hard, Colleges can’t able to give their 100% because the data of student attendance is not perfectly arranged, hence unable to provide guest lecture, external workshop, and many more extra circular activities to its peak (as much as possible). If we do such task manually then the management will become a very time consuming and difficult task. In today’s modern days algorithm like HOG, CNN, fisherfaces, Eigenfaces, and etc. are examples of one of the many algorithms that

APA, Harvard, Vancouver, ISO, and other styles

32

Jing, Xiao-Yuan, Hau-San Wong, David Zhang, and Yuan-Yan Tang. "An uncorrelated fisherface approach." Neurocomputing 67 (August 2005): 328–34. http://dx.doi.org/10.1016/j.neucom.2005.01.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Firasari, Elly, F. Lia Dwi Cahyanti, Fajar Sarasati, and Widiastuti Widiastuti. "COMPARISON OF EIGENFACE AND FISHERFACE METHODS FOR FACE RECOGNITION." Jurnal Techno Nusa Mandiri 19, no. 2 (2022): 125–30. http://dx.doi.org/10.33480/techno.v19i2.3470.

Full text

Abstract:

Abstract— Biometric information systems have been widely used in the fields of government, shopping centers, education and even security, which offer biological authentication so that the system can recognize its users more quickly. The parts of the human body are identified by a biometric system that has unique and specific characteristics, one of which is the face. Adjustment of facial image deals with objects that are never the same, due to the parts that can change. These changes are caused by facial expressions, light intensity, shooting angle, or changes in facial accessories. With this,

APA, Harvard, Vancouver, ISO, and other styles

34

Dheyaa Ismael, Khansaa, and Stanciu Irina. "Face recognition using viola-jones depending on python." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 3 (2020): 1513. http://dx.doi.org/10.11591/ijeecs.v20.i3.pp1513-1521.

Full text

Abstract:

<p>In this paper, the proposed software system based on face recognition the proposed system can be implemented in the smart building or any VIP building need security interring in general, The human face will be recognized from a stream of pictures or video feed, this technology recognizes the person according to the specific algorithm, the algorithm that employed in this paper is the Viola–Jones object detection framework by using Python. The task of the proposed facial recognition system consists of two steps, the first one was detected the human face from live video using the webcame

APA, Harvard, Vancouver, ISO, and other styles

35

Ismael, Khansaa Dheyaa, and Stanciu Irina. "Face recognition using Viola-Jones depending on Python." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 3 (2020): 1513–21. https://doi.org/10.11591/ijeecs.v20.i3.pp1513-1521.

Full text

Abstract:

In this paper, the proposed software system based on face recognition the proposed system can be implemented in the smart building or any VIP building need security interring in general. The human face will be recognized from a stream of pictures or video feed, this technology recognizes the person according to the specific algorithm, the algorithm that employed in this paper is the Viola–Jones object detection framework by using Python. The task of the proposed facial recognition system consists of two steps, the first one was detected the human face from live video using the webcamera

APA, Harvard, Vancouver, ISO, and other styles

36

Anggo, Mustamin, and La Arapu. "Face Recognition Using Fisherface Method." Journal of Physics: Conference Series 1028 (June 2018): 012119. http://dx.doi.org/10.1088/1742-6596/1028/1/012119.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Koh, Hyun-Joo, Myung-Geun Chun, and K. K. Paliwal. "Face Recognition using Emotional Face Images and Fuzzy Fisherface." Journal of Institute of Control, Robotics and Systems 15, no. 1 (2009): 94–98. http://dx.doi.org/10.5302/j.icros.2009.15.1.094.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Pratomo, Awang Hendrianto, Mangaras Yanu Florestyanto, Y. I. Sania, B. Ihsan, H. H. Triharminto, and Leonel Hernandez. "Image processing for student emotion monitoring based on fisherface method." Science in Information Technology Letters 2, no. 1 (2021): 43–53. http://dx.doi.org/10.31763/sitech.v2i1.690.

Full text

Abstract:

Monitoring academic emotion is an activity to provide information from students' academic emotions in the class continuously. Some research in the image processing field had done for face recognition but had not been many studies on image processing to detect student emotions. This paper aims to determine the percentage of facial recognition with fisherface and academic emotional recognition by monitoring changes in students' facial expressions using facial landmarks in various distances, camera angles, light, and attributes used on objects. The proposed method uses facial image extraction bas

APA, Harvard, Vancouver, ISO, and other styles

39

Fawzi, Ahmad, Joni Fat, and Meirista Wulandari. "Evaluation Method of Real-Time Face Detection." International Journal of Application on Sciences, Technology and Engineering 1, no. 2 (2023): 643–50. http://dx.doi.org/10.24912/ijaste.v1.i2.643-650.

Full text

Abstract:

Object detection is one of computer technology using image or video. Face detection is closely related Image processing and computer vision are used to detect several objects including human faces, landscapes, cars, etc. Face detection algorithm aims to confirm if an image has a face as the object in it. In this study, face detection uses several methods, namely the Eigenface method, the Fisherface method, and the Local Binary Pattern Histogram (LBPH) method. This study used 10 different subjects. The test was carried out 15 times using each face detection method with constant distance. The fa

APA, Harvard, Vancouver, ISO, and other styles

40

Putra, I. Nyoman Tri Anindia, and Ketut Sepdyana Kartini. "PERBANDINGAN METODE PENGENALAN WAJAH MELALUI SURVEILLANCE BERBASIS PENGENALAN WAJAH." SINTECH (Science and Information Technology) Journal 4, no. 1 (2021): 88–98. http://dx.doi.org/10.31598/sintechjournal.v4i1.660.

Full text

Abstract:

Until now, the facial recognition method is still very difficult to do, especially when the facial confirmation process is accurate in real time. Facial recognition methods that have been tested, such as eigenface, Local Binary Pattern Histogram (LBPH), and fisherface, are feasible methods to be tested directly by applying these three methods to facial recognition-based surveillance systems. This study aims to compare the level of real-time accuracy in personal identification on the three methods through 4 parameters, namely accuracy, FAR (False Acceptance Rate), FRR (False Rejection Rate), an

APA, Harvard, Vancouver, ISO, and other styles

41

Lu, Xiao Long, Le Yang, Gang Cai, Zi Xing Mo, and Li Peng. "Face Recognition Based on Eigenface Image Reconstruction and Fisherface." Advanced Materials Research 1044-1045 (October 2014): 1153–58. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1153.

Full text

Abstract:

In this paper, a new face recognition method based on eigenface image reconstruction and Fisherface is proposed, it is mainly used to reduce the loss of personal characteristics. First, we can obtain the feature subspace of all the classes in training set by using the inner-classes covariance matrix as generating matrix, and so we get the eigenfaces of each person (class). Next, we use the principal component of testing set, which is obtained by mapping testing set to the feature subspace, to reconstruct the testing images. Finally, we substitute the reconstructed testing images for the origin

APA, Harvard, Vancouver, ISO, and other styles

42

Kwak, Keun-Chang, and Witold Pedrycz. "Face recognition using a fuzzy fisherface classifier." Pattern Recognition 38, no. 10 (2005): 1717–32. http://dx.doi.org/10.1016/j.patcog.2005.01.018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Jing, Xiao-Yuan, Hau-San Wong, and David Zhang. "Face recognition based on 2D Fisherface approach." Pattern Recognition 39, no. 4 (2006): 707–10. http://dx.doi.org/10.1016/j.patcog.2005.10.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Hussien, Abbas. "CWT and Fisherface for Human Face Recognition." International Journal of Computer Applications 142, no. 6 (2016): 27–30. http://dx.doi.org/10.5120/ijca2016909837.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Kwak, Keun-Chang, Witold Pedrycz, Hyoun-Joo Go, and Myung-Geun Chun. "Fuzzy Aggregation Method Using Fisherface and Wavelet Decomposition for Face Recognition." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 4 (2004): 379–84. http://dx.doi.org/10.20965/jaciii.2004.p0379.

Full text

Abstract:

In this paper, we propose the fuzzy aggregation method for face recognition based on subimage sets decomposed by wavelets. The proposed approach consists of four main stages. The first stage uses the wavelet decomposition that helps extract intrinsic features of face images. The second stage of the approach applies a fisherface method to these four subimages obtained by wavelet decomposition. The choice of the fisherface method in this setting is motivated by its insensitivity to large variation in light direction, face pose, and facial expression. The last two phases are concerned with the ag

APA, Harvard, Vancouver, ISO, and other styles

46

ST, Suganthi, Mohamed Uvaze Ahamed Ayoobkhan, Krishna Kumar V, et al. "Deep learning model for deep fake face recognition and detection." PeerJ Computer Science 8 (February 22, 2022): e881. http://dx.doi.org/10.7717/peerj-cs.881.

Full text

Abstract:

Deep Learning is an effective technique and used in various fields of natural language processing, computer vision, image processing and machine vision. Deep fakes uses deep learning technique to synthesis and manipulate image of a person in which human beings cannot distinguish the fake one. By using generative adversarial neural networks (GAN) deep fakes are generated which may threaten the public. Detecting deep fake image content plays a vital role. Many research works have been done in detection of deep fakes in image manipulation. The main issues in the existing techniques are inaccurate

APA, Harvard, Vancouver, ISO, and other styles

47

Rasyid, Muhammad Furqan. "Comparison Of LBPH, Fisherface, and PCA For Facial Expression Recognition of Kindergarten Student." International Journal Education and Computer Studies (IJECS) 2, no. 1 (2022): 19–26. http://dx.doi.org/10.35870/ijecs.v2i1.625.

Full text

Abstract:

Face recognition is the biometric personal identification that gaining a lot of attention recently. An increasing need for fast and accurate face expression recognition systems. Facial expression recognition is a system used to identify what expression is displayed by someone. In general, research on facial expression recognition only focuses on adult facial expressions. The introduction of human facial expressions is one of the very fields of research important because it is a blend of feelings and computer applications such as interactions between humans and computers, compressing data, face

APA, Harvard, Vancouver, ISO, and other styles

48

Susanto, Erwin, Malian Malian, and Tata Sutabri. "IMPLEMENTASI MACHINE LEARNING PENGENALAN WAJAH MENGGUNAKANAN METODE FISHERFACE." Jusikom : Jurnal Sistem Komputer Musirawas 8, no. 1 (2023): 61–67. http://dx.doi.org/10.32767/jusikom.v8i1.2060.

Full text

Abstract:

Sistem pengenalan wajah untuk mengidentifikasi masing-masing personal, yang memiliki tingkat akurasi yang tinggi dan cepat dalam memproses pengenalan tersebut. Saat ini, sistem pengenalan wajah sangat dibutuhkan untuk berbagai persoalan, seperti di bidang keamanan, di bidang pendidikan yaitu salah satunya absensi, dan lain-lain. Sistem keamanan pun ikut berkembang. Agar data dapat terjaga keamanannya dan tidak disalahgunakan oleh orang lain, maka digunakanlah sistem keamanan berupa password. Face Recognition adalah suatu metode yang dapat digunakan untuk mengenali wajah. Salah satu ilmu yang b

APA, Harvard, Vancouver, ISO, and other styles

49

Ahsan, Md Manjurul, Yueqing Li, Jing Zhang, Md Tanvir Ahad, and Kishor Datta Gupta. "Evaluating the Performance of Eigenface, Fisherface, and Local Binary Pattern Histogram-Based Facial Recognition Methods under Various Weather Conditions." Technologies 9, no. 2 (2021): 31. http://dx.doi.org/10.3390/technologies9020031.

Full text

Abstract:

Facial recognition (FR) in unconstrained weather is still challenging and surprisingly ignored by many researchers and practitioners over the past few decades. Therefore, this paper aims to evaluate the performance of three existing popular facial recognition methods considering different weather conditions. As a result, a new face dataset (Lamar University database (LUDB)) was developed that contains face images captured under various weather conditions such as foggy, cloudy, rainy, and sunny. Three very popular FR methods—Eigenface (EF), Fisherface (FF), and Local binary pattern histogram (L

APA, Harvard, Vancouver, ISO, and other styles

50

XU, DONG, DACHENG TAO, XUELONG LI, and SHUICHENG YAN. "FACE RECOGNITION — A GENERALIZED MARGINAL FISHER ANALYSIS APPROACH." International Journal of Image and Graphics 07, no. 03 (2007): 583–91. http://dx.doi.org/10.1142/s0219467807002817.

Full text

Abstract:

In this paper, we propose a new supervised learning algorithm, which is named the Generalized Marginal Fisher Analysis (GMFA), to utilize the advantages of the Marginal Fisher Analysis (MFA) and the Generalized Singular Value Decomposition (GSVD) techniques for face recognition. The experimental results on several standard face databases demonstrate that GMFA outperforms LDA/Fisherface, LDA/GSVD and MFA.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!