Face Recognition (FR) Integration on MABIS: A Mobile Automated Biometric Identification System for Law Enforcement in the Philippines
William Penaflor Rey · 2023
The Philippines is a southeastern Asian archipelago of over 7,640 islands. The Philippine National Police (PNP) is tasked with upholding the law, preventing and controlling crime, maintaining peace and order, and ensuring public safety and internal security with the active support of the community. Currently, the country has 1,766 police stations. Criminal identification procedures take time to complete due to geographical challenges. To address such challenges, the Mobile Automated Fingerprint Identification System (MAFIS) was developed. The integration of face recognition with the existing MAFIS makes it MABIS, a Mobile Automated Biometric Identification System. The MABIS allows law enforcers to use both fingerprint and face recognition to identify law offenders by searching the criminal database for existing records. If found, criminal records will be retrieved for investigation and referenced. If no information is found, a new record will be added. The goal of the paper is to integrate a Face Recognition (FR) system into an existing MAFIS by employing an open-source facial recognition service.