Neighbour‐based bag‐of‐samplings for person identification through handwritten dynamics and convolutional neural networks-Reference-Cited by-同舟云学术

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Neighbour‐based bag‐of‐samplings for person identification through handwritten dynamics and convolutional neural networks

Published:2021-11-29 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Rosa Gustavo H.¹^ORCID,Roder Mateus¹^ORCID,Papa João P.¹^ORCID

Affiliation:

1. Department of Computing São Paulo State University Bauru Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12891

Reference30 articles.

1. Ahmed E. Jones M. &Marks T. K.(2015).An improved deep learning architecture for person re‐identification. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3908–3916).

2. Al‐Nima R. R. O. Han T. Chen T. Dlay S. &Chambers J.(2020).Finger texture biometric characteristic: A survey.

3. Anisimova E. S. &Anikin I. V.(2020).Finding a rational set of features for handwritten signature recognition. In 2020 dynamics of systems mechanisms and machines (dynamics) (pp. 1–6).

4. Bharadi V. Pandva B. &Cosma G.(2018).Multi‐modal biometric recognition using human iris and dynamic pressure variation of handwritten signatures. In 2018 fifth international conference on social networks analysis management and security (SNAMS) (p. 233–238).

5. Analysis of the Dynamics of Handwriting for Biometric Personality Identification Based on Cellular Automata

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