During the last few years the pattern analysis and machine intelligence community has developed automation tools for forensic document examination (FDE), in particular for determining whether a given handwriting specimen can be attributed to known writing. As with other expert systems, such as for medical diagnosis, current automation tools are useful only as part of a larger manually-intensive procedure. Defining a computational approach for the overall problem not only places these tools in context but also helps validate and improve existing manual procedures. We consider the standard work flow in FDE of handwritten items and annotate the steps where automation is available or possible. A well-known ransom note case is considered as an example, where there are multiple questioned documents, testing for multiple writers of the same document, determining whether the writing is disguised, known writing is formal while questioned writing is informal, etc. The findings for the particular ransom note case using the tools are given. Observations are made for developing a more fully automated approach to FDE.
(Publisher abstract provided.)
Downloads
Similar Publications
- Post-traumatic stress disorder moderates the relation between documented childhood victimization and pain 30 years later
- Low-Power-Consumption Wide-Locking-Range Dual-Injection-Locked 1/2 Divider Through Simultaneous Optimization of VCO Loaded Q and Current
- New Technique for Synthesizing Concurrent Dual-Band Impedance-Matching Filtering Networks and 0.18-μm SiGe BiCMOS 25.5/37-GHz Concurrent Dual-Band Power Amplifier