Towards human-assisted signature recognition: improving biometric systems through attribute-based recognition

التفاصيل البيبلوغرافية
العنوان: Towards human-assisted signature recognition: improving biometric systems through attribute-based recognition
المؤلفون: Morocho, Derlin, Morales Moreno, Aythami, Fiérrez Aguilar, Julián, Vera Rodríguez, Rubén
المساهمون: UAM. Departamento de Tecnología Electrónica y de las Comunicaciones, Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002)
بيانات النشر: Institute of Electrical and Electronics Engineers Inc.
سنة النشر: 2016
المجموعة: Universidad Autónoma de Madrid (UAM): Biblos-e Archivo
مصطلحات موضوعية: Manuals, Databases, Forgery, Biometrics (access control), Crowdsourcing, Training, Telecomunicaciones
الوصف: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. D. Morocho, A. Morales, J. Fierrez and R. Vera-Rodriguez, "Towards human-assisted signature recognition: Improving biometric systems through attribute-based recognition," 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Sendai, 2016, pp. 1-6. doi:10.1109/ISBA.2016.7477227 ; This work explores human-assisted schemes for improving automatic signature recognition systems. We present a crowdsourcing experiment to establish the human baseline performance for signature recognition tasks and a novel attribute-based semi-automatic signature verification system inspired in FDE analysis. We present different experiments over a public database and a self-developed tool for the manual annotation of signature attributes. The results demonstrate the benefits of attribute-based recognition approaches and encourage to further research in the capabilities of human intervention to improve the performance of automatic signature recognition systems ; A.M. is supported by a JdC contract by the Spanish MECD (JCI-2012-12357). This work has been partially supported by projects: Bio-Shield (TEC2012-34881) from Spanish MINECO, BEAT (FP7-SEC-284989) from EU
نوع الوثيقة: conference object
وصف الملف: application/pdf
اللغة: English
ردمك: 978-1-4673-9728-5
1-4673-9728-8
Relation: IEEE Access; http://dx.doi.org/10.1109/ISBA.2016.7477227; February 29 - March 2, 2016; Tohoku Univ, Sendai (Japan); 2nd IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2016; Gobierno de España. TEC2012-34881; info:eu-repo/grantAgreement/EC/FP7/284989; 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA). IEEE, 2016. 7477227; 2169-3536 (online); http://hdl.handle.net/10486/675870; 7477227
DOI: 10.1109/ISBA.2016.7477227
الاتاحة: http://hdl.handle.net/10486/675870
https://doi.org/10.1109/ISBA.2016.7477227
Rights: © 2016 IEEE ; © The Author(s) ; openAccess
رقم الانضمام: edsbas.138CD7B1
قاعدة البيانات: BASE
الوصف
ردمك:9781467397285
1467397288
DOI:10.1109/ISBA.2016.7477227