FORENSIC BIOMETRICS IDENTIFICATION SYSTEM FOR DNA PROFILE HUMAN BASED ON ASSOCIATION RULES

Abstract

It should be noted that there is a joint work between biomedicine such as forensic medicine and information technology through the use of information technology technologies in all fields, including determining the of DNA profile. One of the leading biotechnologies in this field is data mining techniques. There are many ways to identify disaster victims, such as fingerprints, dental record and DNA profile matching. DNA matching is a highly accurate identification way that does not need specific parts of the victim's body. Deoxyribose Nucleic Acid (DNA) is the basic elements that make up an entire section of a human. The core elements store unique information for each individual and will be passed on through generations. DNA also helps in identifying the father in paternity testing,. The limitation of applying DNA matching for disaster victim identification lies on expensive and time consuming process. To address this situation, in this paper, we performed a method to measure the confidence of matching of human DNA profiles identification using Association Rule Classification System is proposed. In this Classification system, DNA profile data is used as an input that stores human identity along with its DNA profile. advisable information or good patterns from present datasets for certain objective. The results were satisfactory and characterized by large percentage and high accuracy. Finally, performance of this system is evaluated and in turns the proposed system proves its capability in forensic human identification and scalability to handle huge amounts of data.