2026-10-13T02:52:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33904523 2026-09-17T17:35:24Z category_7 category_12 category_14 category_21 category_734 portal_5 item_type_3 month_year_09_2026

<p>Comparison between the models mentioned on CCSD. FAR, FRR, ACC denote False Acceptance Rate, False Rejection Rate, and Accuracy, respectively. The symbol “+” indicates that the higher the value is the better the model performs. The symbol “-” is the opposite.</p> Li Zhu (67404) Long Tang (700109) Huaqing Mao (8230416) Medicine Cell Biology Molecular Biology Biotechnology Biological Sciences not elsewhere classified single biometric pattern informative region automatically false acceptance rate extensive experiments show experimental results demonstrates baseline svm method model &# 8217 attention convolutional layers 78 %, representing unlike signature verification 000 character images fonts model achieves channel cnns model general handwriting comparison accuracy fluctuates widely chinese character handwriting proposed methods extract multiple characters susceptible handwriting comparison proposed model model outputs multiple spatial existing methods channel receives attention mechanisms 50 fonts 36 %, proposed clasn comparison feature signature comparisons entire signature character level whole sentence two characters reduced sensitivity paragraph level enabling finer data noise currently available approximately 48 approach operates analyzes text alignment variations additional information 800 users <p>Comparison between the models mentioned on CCSD. FAR, FRR, ACC denote False Acceptance Rate, False Rejection Rate, and Accuracy, respectively. The symbol “+” indicates that the higher the value is the better the model performs. The symbol “-” is the opposite.</p> 2026-09-17T17:35:09Z Dataset Dataset 10.1371/journal.pone.0353503.t002 https://figshare.com/articles/dataset/_p_Comparison_between_the_models_mentioned_on_CCSD_FAR_FRR_ACC_denote_False_Acceptance_Rate_False_Rejection_Rate_and_Accuracy_respectively_The_symbol_indicates_that_the_higher_the_value_is_the_better_the_model_performs_The_symbol_-_is_the_o/33904523 CC BY 4.0