Chantilly, VA - 6/24/2024
- Handwriting analysis has long been utilized in forensic and security contexts, relying on
unique patterns and nuances in each person's writing style to establish identity. Traditionally, this
process has been labor-intensive and highly specialized, requiring expert human analysis.
FlashID simplifies and accelerates this process through state-of-the-art machine learning algorithms to automate the identification of individuals through their handwriting across multiple languages and writing styles.
Key features of FlashID include:
Automation
The entire identification process, from sample enrollment to analysis, is fully automated, drastically reducing the time and resources traditionally required.
Multi-Language Capability
FlashID is proficient in recognizing handwriting across a wide array of languages, making it ideal for international applications.
Objective Scoring
Built upon a robust foundation of machine learning and pattern recognition, FlashID generates an objective score of document
similarity that can be used compare one questioned document against a single or multiple questioned documents.
Visualization
FlashID provides multiple ways for comparing known and questioned documents including a heatmap which offers a quick visual display of document similarity.
Whether used by law enforcement agencies combating forgery, financial institutions ensuring transaction integrity, or businesses verifying document authenticity, FlashID promises to set a new standard in automated writer identification technology.