18193736. Document Image Blur Assessment simplified abstract (Jumio Corporation)
Contents
Document Image Blur Assessment
Organization Name
Inventor(s)
Stuart Wells of Saratoga CA (US)
Anshuman Vikram Singh of Vienna (AT)
Thomas Krump of Buchkirken (AT)
Daryl Huff of Saratoga CA (US)
Document Image Blur Assessment - A simplified explanation of the abstract
This abstract first appeared for US patent application 18193736 titled 'Document Image Blur Assessment
The disclosure involves a system and method for analyzing blur values in a document to determine its acceptance or rejection based on inconsistencies in the blur values.
- The system determines blur values for different portions of the document.
- It checks for inconsistencies in the blur values across the document.
- The likelihood of accepting or rejecting the document is modified based on the presence or absence of inconsistencies.
Potential Applications: - Document verification processes - Quality control in printing and scanning industries - Forensic document analysis
Problems Solved: - Ensures document integrity by detecting inconsistencies in blur values - Improves accuracy in document acceptance/rejection decisions
Benefits: - Enhances document verification processes - Increases efficiency in quality control procedures - Helps in maintaining document authenticity
Commercial Applications: Title: Document Verification System This technology can be used in industries such as printing, scanning, and forensics to improve document verification processes, ensuring accuracy and authenticity.
Questions about the technology: 1. How does this system determine blur values in a document? - The system calculates blur values for different portions of the document using a specific algorithm. 2. What are the potential implications of using this technology in forensic document analysis? - This technology can enhance the accuracy and efficiency of forensic document analysis processes.
Original Abstract Submitted
The disclosure includes a system and method for determining a first measure of blur value associated with a first portion of a document under test; determining a second measure of blur value associated with a second portion of the document under test; determining whether an inconsistency in a set measure of blur values associated with the document under test is present, wherein the set of measure of blur values associated with the document under test includes the first measure of blur value and the second measure of blur value; and modifying a likelihood that the document is accepted or rejected based on whether the inconsistency is absent or present, respectively
