Bullet Signature Identification Program On Internet

A Software Developed by Drexel University and National Institute of Standards and Technology

                                            

Compound Correlation Function Method For Bullet Signature Identification

   By using digital filtering, auto-correlation and cross-correlation functions, a software has been developed to identify bullet signatures obtained from gun shots to find out if they were shot from same gun or not. This bullet signature identification software can help law authority to identify crime and enforce the law.

  Conventional bullet signature identification methods used by FBI, ATF and police departments are mainly based on signature image/pattern comparison which requires highly skilled people and is not a quantitative identification. The developed compound correlation function method is quantitative, and it provides a unique number called Correlation Index (CI) to distinguish bullet signatures. If CI equals 1 the two signatures are identical, if CI equals 0 the two signatures are no any relations, if CI equals to any other number the relation of the two bullet signatures will depend on their proximity to 1 or 0. Besides the unique CI value, the software also provides users two bullet signature profile graphs and correlation function graphs.

How to Use the Software

  There are two versions of the software. The first one is a practice version to use the software provided two signature files to do the comparison and show all the results. To use this version users only need to press the Default Data button, then the result page will show automatically.

[FrontPage Save Results Component]

  In the second version, users need to use the following provided browser buttons to input their measured two signature files to the blank boxes and then press the Upload Files to Server button. After this, users need to press Run the Software button and then the Show Me the Results button.

Please input two data files to compare:

Input Signature Profile 1              

Input Signature Profile 2                      

Cut Off Data Number                   

                           

Contact Information:                                 

Dr. Jack G. Zhou

Department of Mechanical Engineering and Mechanics

Drexel University

3121 Chestnut Street

Philadelphia, PA 19104

Tel: 215-895-1480, Fax: 215-895-1478

E-mail: zhoug@drexel.edu

 

 

Useful Links

 
FBI


ATF

Advanced Design and Manufacturing
Research Laboratory at Drexel University