| EPSRC Reference: |
GR/S98184/01 |
| Title: |
Automatic Handwriting Analysis to Support and Evaluate Document Inspection in Criminal Investigations |
| Principal Investigator: |
Guest, Professor R |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Sch of Engineering & Digital Arts |
| Organisation: |
University of Kent |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2004 |
Ends: |
30 September 2007 |
Value (£): |
250,675
|
| EPSRC Research Topic Classifications: |
|
| EPSRC Industrial Sector Classifications: |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
The examination of handwritten documents is an essential part of the forensic investigation of many crimes, the evaluation of which relies solely on the visual inspection of documents using the experience and training of a human examiner. We believe that there are many potential benefits in seeking to exploit current techniques for automated handwriting analysis to assist this process and reduce subjectivity. This proposal has three principal objectives: firstly to provide a means of evaluating the document examination process and, especially, to provide a framework within which objective measures of confidence and performance levels for an individual inspector can be established. Secondly to provide tools to assist in document examination and thirdly to provide the basis of a training tool. In order to achieve these objectives we propose to develop a method to compare and validate a forensic document examiner's analysis of a document's structure and internal characteristics against measurable features extracted using a computer-based analysis utilising techniques developed for the recognition of handwritten data. This will encompass the direct comparison of static features of the writing (features related to the 2D image generated) and also the predictive accuracy, compared to direct computer-based measurement, of dynamic features of the writing execution embodied in samples prepared through on-line writing capture.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.kent.ac.uk |