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2018 | OriginalPaper | Chapter

A Comparative Study on Soft Biometric Approaches to Be Used in Retail Stores

Authors : Berardina De Carolis, Nicola Macchiarulo, Giuseppe Palestra

Published in: Foundations of Intelligent Systems

Publisher: Springer International Publishing

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Abstract

Soft biometric analysis aims at recognizing personal traits that provide some information about the individual. In this paper, we implemented and compared several approaches for soft biometric analysis in order to analyze humans soft biometric traits: age, gender, presence of eyeglasses and beard. Convolutional Neural Netoworks can be successfully used to understand soft biometric traits of passers-by looking at public displays and at shop windows.

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previous chapter Mobile Application with Image Recognition for Persons with Aphasia
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Metadata
Title
A Comparative Study on Soft Biometric Approaches to Be Used in Retail Stores
Authors
Berardina De Carolis
Nicola Macchiarulo
Giuseppe Palestra
Copyright Year
2018
Book
Foundations of Intelligent Systems

Print ISBN: 978-3-030-01850-4

Electronic ISBN: 978-3-030-01851-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-01851-1_12

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