Open Access iconOpen Access

ARTICLE

crossmark

An Enhanced Hybrid Model Based on CNN and BiLSTM for Identifying Individuals via Handwriting Analysis

Md. Abdur Rahim1, Fahmid Al Farid2, Abu Saleh Musa Miah3, Arpa Kar Puza1, Md. Nur Alam4, Md. Najmul Hossain5, Sarina Mansor2, Hezerul Abdul Karim2,6,*

1 Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna, 6600, Bangladesh
2 Faculty of Engineering, Multimedia University, Cyberjaya, 63100, Malaysia
3 Department of Computer Science and Engineering, Bangladesh Army University of Science and Technology, Saidpur, 5311, Bangladesh
4 Department of Mathematics, Pabna University of Science and Technology, Pabna, 6600, Bangladesh
5 Department of Electrical, Electronic and Communication Engineering, Pabna, University of Science and Technology, Pabna, 6600, Bangladesh
6 Department of Electrical and Communication Engineering, Pabna University of Science and Technology, Pabna, 6600, Bangladesh

* Corresponding Author: Hezerul Abdul Karim. Email: email

TSP_CMES_48714.pdf

  • 197

    View

  • 113

    Download

  • 0

    Like

Share Link