International Workshop on Computational Document Forensics

Sydney, Australia

September 21, 2019


Everywhere around the world, industries and government processes are being more and more digitized. Document management systems and digital safe-boxes are particularly concerned by these questions, since documents generally remain the basis of many decisions for transactions, contracts and communication. Documents also remain the proofs for many legal issues. As a consequence, it becomes absolutely essential to develop computational forensic science applied to documents and to create the conditions for protecting documents, for confirming their authenticity and for detecting frauds.

The Second International Workshop on Computational Document Forensics aims at addressing the theoretical and practical works related to this field and creating a space for discussions between people working on this issues in different areas such as document and speech processing, digital security, biometry, forensic sciences.

This second edition will put a focus on researches on Automated Forensic Handwriting Analysis by dedicating a complete session with a keynote presentation, oral and poster sessions.

Related topics :

  • Prevention of forgeries in documents
  • Detection of forged documents
  • Detection of fake documents
  • Detection of forgeries in printed and rescanned documents
  • Authentication of documents
  • Forgery localisation
  • Copyright protection
  • Watermarking
  • Digital signatures
  • Forensic handwriting verification/identification 
  • Forensic signature verification/identification 
  • Within writer versus between writer variations 
  • Determining the frequency of occurrence of handwriting features 
  • Automated signature identification and verification 
  • Automated handwriting identification and verification 
  • Extraction of movement order features out of the ink trace
  • Expert results vs. system outputs
  • Allograph matching and clustering
  • Classification of signatures: legible vs. illegible, complex vs. simple
  • Taxonomy of features


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