Artificial Intelligence for Tattoo Classification in Identity Verification

Abstract

We recommended designing this system to be as efficient as possible in the detection of tattoos from missing persons, unidentified individuals, and unclaimed bodies for the purpose of gathering biometric data in terms of personal identification. The program will be revising in stages, classifying and labeling different kinds of tattoos to establish a standardized method to record biometric data of tattoos. Consistency, on the other hand, will help the concerned key agencies and departments—the Royal Thai Police, the Ministry of Social Development and Human Security, the Forensic Science Institute, and the Ministry of Public Health—to have all data recorded in organized and appropriate forms. A system with unveiled and standardized processes will enable matching of the database entries with a centralized set controlled by the Missing Persons, Unidentified Individuals, and Unidentified Corpses Tracking System Committee. This is a method that will ensure that success rates in establishing the identity of unidentified persons and their matching with the existing records are accomplished. A process guided by standards will minimize data entry errors, preserve precious time, and even reduce problems linked to personnel shortages. In this way, the program minimizes the need for specialized personnel in data input. This program also hopes to overcome discontinuities evident in 'data recording' by different agencies on a unified basis, in a collaborative manner. Finally, it promises to make tattoo-based identification more efficient, reliable, and accessible across agencies. The initiative would help law enforcement and social services bring clarity and closure to the agencies and the many families and communities affected by cases of missing and unidentified persons.