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 Ear Recognition Using Pretrained Convolutional Neural Networks Subject The topic of the resource Convolutional neural network; Deep learning; Ear recognition; Pretrained networks Description An account of the resource Ear biometrics, which involves the identification of a person from an ear image, is challenging under unconstrained image capturing scenarios. Studies in Ear biometrics reported that the Convolutional Neural Network is a better alternative to classical machine learning with handcrafted features. Two major concerns in CNN are the requirement of enormous computing resources and large datasets for training. The pretrained network concept helps to use CNN with smaller datasets and is less demanding on hardware. In this paper, three pre-trained CNN models, AlexNet, VGG16, and ResNet50 are used for ear recognition. The fully connected classification layers of the nets are trained with AWE, an unconstrained ear dataset. Alternatively, the CNN layers output (the CNN features) are extracted, and an SVM classification model is built. To improve the classification accuracy, the training dataset size is increased through data augmentation. Data augmentation improved the classification accuracy drastically. The results show that ResNet50, with the fully connected classification layer, results in higher accuracy. 2021, Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Resmi K.R.; Raju G. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1440 CCIS, pp. 720-728. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-3-030-81462-5_63" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-81462-5_63</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118986982&amp;doi=10.1007%2F978-3-030-81462-5_63&amp;partnerID=40&amp;md5=0323771dd7f8297f16bb346964928068" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118986982&amp;doi=10.1007%2f978-3-030-81462-5_63&amp;partnerID=40&amp;md5=0323771dd7f8297f16bb346964928068</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303081461-8 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 Resmi K.R., School of Computer Sciences, M G University, Kerala, India; Raju G., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India