Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparison of HOG and fisherfaces based face recognition system using MATLAB Subject The topic of the resource Error-correcting output code (ECOC); Fisherface; Histogram of oriented gradients (HOG); Linear discriminant analysis (LDA); Principal component analysis (PCA) Description An account of the resource Face recognition and validation is not an easy task due to barriers in between like variation in pose, facial expressions and illumination. There are many algorithms available to build a face recognition system. One such popular method of approach is the Histogram of Oriented Gradients (HOG). It is a simple but effective algorithm. Even though it gives satisfactory results, it sometimes mismatches query image with irrelevant images, especially in poor lighting conditions. This paper presents a more accurate technique called Fisherfaces. It is a more reliable method for face recognition and validation. Fisherface algorithm is utilized primarily for reducing the dimensionality of the feature space. Fisherface method for image recognition involves a series of steps. Firstly, the face space dimension is reduced using Principal Component Analysis (PCA) method, then the Linear Discriminant Analysis (LDA) method is used for feature extraction. Fisherface method produced good results even under complex situations like varying illumination conditions and images with different poses and expressions which is a major drawback of HOG. Fisherface algorithm can reach a maximum accuracy of 96.87%. Error Correcting Output Code (ECOC) is the classifier used for both HOG and Fisherfaces. 2021 IEEE. Creator An entity primarily responsible for making the resource Megha Chandra Reddy N.V.; Kumar K. Source A related resource from which the described resource is derived 2021 2nd International Conference for Emerging Technology, INCET 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/INCET51464.2021.9456366" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INCET51464.2021.9456366</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113291655&amp;doi=10.1109%2FINCET51464.2021.9456366&amp;partnerID=40&amp;md5=1468ab883f7f7adfcc70b175468dd2fd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113291655&amp;doi=10.1109%2fINCET51464.2021.9456366&amp;partnerID=40&amp;md5=1468ab883f7f7adfcc70b175468dd2fd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172817029-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Megha Chandra Reddy N.V., Christ(Deemed to Be) University, Dept. of Electronics and Communication Engineering, Bangalore, India; Kumar K., Christ(Deemed to Be) University, Dept. of Electronics and Communication Engineering, Bangalore, India