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

• 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

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,...