Signature Classification: Manual vs Machine Learning


 This study presents a comparative analysis of manual and machine learning techniques for distinguishing between real and forged signatures. It highlights the accuracy, efficiency, and forensic relevance of both approaches, offering insights into their implications for document examination and legal authentication.

Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee

Website: https://forensicscientist.org/

Social media:

You tube: https://www.youtube.com/@forensicscientistawards

Twitter: https://x.com/AwardForensic

Instagram: https://www.instagram.com/forensicaward/

Pinterest: https://in.pinterest.com/forensicaward/

Comments

Popular posts from this blog

Specific Protein Markers in Body Fluids for Forensic Applications

Best Paper Award

MobileTransNeXt: Hybrid CNN-Transformer-BiLSTM for Image Classification