DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning networks based on handwriting data

DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning networks based on handwriting data

Identifying and verifying the identity of people based on scanned images of handwritten documents is an applicable biometric modality with applications in forensic and historic document investigation, and it is an important study area within the research field of behavioral biometrics. Despite this,...

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Bibliographic Details
Main Authors: Yang, Jing, Shokouhifar, Mohammad, Yee, Por Lip, Khan, Abdullah Ayub, Awais, Muhammad, Mousavi, Zohreh
Format: Article
Published: PERGAMON-ELSEVIER SCIENCE LTD 2024
Subjects:
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/44275/
https://doi.org/10.1016/j.eswa.2023.122704
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Institution: Universiti Malaya

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http://eprints.um.edu.my/44275/
https://doi.org/10.1016/j.eswa.2023.122704

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