Academic Journal

Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples

التفاصيل البيبلوغرافية
العنوان: Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples
المؤلفون: Brown, Dane, Bradshaw, Karen L
بيانات النشر: Springer
سنة النشر: 2022
المجموعة: SEALS Digital Commons (South East Academic Libraries System, South Africa)
مصطلحات موضوعية: To be catalogued
الوصف: This paper builds upon a previously proposed automatic palmprint alignment and classification system. The proposed system was geared towards palmprints acquired from either contact or contactless sensors. It was robust to finger location and fist shape changes—accurately extracting the palmprints in images without fingers. An extension to this previous work includes comparisons of traditional and deep learning models, both with hyperparameter tuning. The proposed methods are compared with related verification systems and a detailed evaluation of open-set identification. The best results were yielded by a proposed Convolutional Neural Network, based on VGG-16, and outperforming tuned VGG-16 and Xception architectures. All deep learning algorithms are provided with augmented data, included in the tuning process, enabling significant accuracy gains. Highlights include near-zero and zero EER on IITD-Palmprint verification using one training sample and leave-one-out strategy, respectively. Therefore, the proposed palmprint system is practical as it is effective on data containing many and few training examples.
نوع الوثيقة: article in journal/newspaper
وصف الملف: computer; online resource; application/pdf; 1 online resource (17 pages); pdf
اللغة: English
Relation: SN Computer Science; http://hdl.handle.net/10962/440249; vital:73760; http://vital.seals.ac.za:8080/vital/access/manager/Repository/vital:73760; xlink:href="https://doi.org/10.1007/s42979-021-00859-3"
الاتاحة: http://hdl.handle.net/10962/440249
http://vital.seals.ac.za:8080/vital/access/manager/Repository/vital:73760
Rights: Publisher ; This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/) ; Open Access
رقم الانضمام: edsbas.34236A84
قاعدة البيانات: BASE