CSFS conferences vary in their quality and content but this year is looking pretty good. For example, the keynote speaker is Dr. Claude Roux whose presentation is entitled ‘Will Forensic Science Reach the End of the Crossroads Soon?’ That’s a tremendous question. How would you answer it? Dr. Roux is sure to have an interesting perspective to share with us. Read more
On October 23, 2016 we lost a very good friend, long-time colleague, and mentor — Dr. Bryan Found. His passing came as a great shock and it has taken some time to process this new reality.
Bryan was truly a great guy and I considered him to be a very good friend. I was fortunate to attend many of his lectures and workshops over the years. Bryan had a unique approach to forensic science. In my opinion his insights and knowledge were unequalled. In recent years I also had the honour and privilege of working with him on various projects.
The expression “better late than never” applies to this post. Over the span of two days in June 2013 the Measurement Science and Standards in Forensic Handwriting Analysis (MSSFHA) conference was held. It explored the (then) current state of forensic handwriting analysis, aka, forensic handwriting examination (FHE). Presentations varied in content but most discussed recent advancements in measurement science and quantitative analyses as it relates to FHE.
The conference was organized by NIST’s Law Enforcement Standards Office (OLES) in collaboration with the AAFS — Questioned Document Section, the ABFDE, the ASQDE, the FBI Laboratory, the NIJ and SWGDOC.
In 1958 Ordway Hilton participated in Session #5 of the RCMP Seminar Series. His article was originally published in that series by the RCMP, and subsequently republished in 1995 in the International Journal of Forensic Document Examiners.1
The later republication included the following abstract:
In every handwriting identification we are dealing with the theory of probability. If an opinion is reached that two writings are by the same person, we are saying in effect that with the identification factors considered the likelihood of two different writers having this combination of writing characteristics in common is so remote that for all practical purposes it can be disregarded. Such an opinion is derived from our experience and is made without formal reference to any mathematical measure. However, the mathematician provides us with a means by which the likelihood of chance duplication can be measured. It is the purpose of this paper to explore the possibility of applying such mathematical measure to the handwriting identification problem to see how we might quantitatively measure the likelihood of chance duplication.
Hilton’s article was written in 8 main sections with references, and is followed by a discussion between seminar participants. Today’s review will discuss each section of the article in turn.