Planning For Automated Fingerprint Identification Systems Afis Implementation

An easy-to-understand synopsis of identification systems, presenting in simple language the process of fingerprint identification, from the initial capture of a set of finger images, to the production of a Rapsheet. No other single work exists which reviews this important identification process from beginning to end. We examine the identification process for latent (crime scene) prints and how they are identified with these systems. While the primary focus is automated fingerprint identifications, the book also touches on the emergence and use of fingerprints in other biometric systems.Criminal justice administrators, policy makers, and students of forensic science and criminal justice will find a reference to the known limitations and advantages of these systems.This book provides information as to the critical and continual need for properly trained individuals as well as an understanding of the direct and indirect costs associated with maintaining these systems. An understanding of the entire system and what it means will prove invaluable. Why are there missed identifications? Why are identifications made on one database that are not made on another database? Key terms and issues are included, and well as suggestions for improving the overall number of identifications.The book will go beyond process and also discuss issues such as interoperability, management strategies for large databases, contract development, lights out verification and several other issues which impact automated identifications. - The first comprehensive title on this subject area- Outlines in detail the entire process of fingerprint gathering and identity verification - The future of AFIS will is discussed, including national standards in developing multi-agency cooperation/interoperability (U.S.) in addition to the use of AFIS identification world-wide.

Along with the implementation of electronic KTP (National ID Card that is powered by smart card technology), the Government of Indonesia has also planned to implement electronic voting or E-Voting for National Voting in year 2014. To realize this major plan, thorough planning, design, and implementation of the new system should be done. BPPT (Badan Penerapan dan Pengkajian Teknologi) has been chosen by the government to conduct research about this new E-Voting system. They currently already have a prototype of E-Voting system, but it lacks a verification module using fingerprint scanner, and is still using costly Microsoft Windows operating system. This book will focus on the planning, design, and implementation of automated fingerprint identification system specifically built for E-Voting which is fully based on open source software.

From its inception over 100 years ago, fingerprint technology has come a long way. This book provides background on and traces the recent history of automated fingerprint identification systems. Included in the book is a brief examination of standards and the role of algorithms. In its history, fingerprints have been used to identify criminal and terrorist suspects, perform background checks, and monitor immigration status, among other applications. Prints found at the scene of a crime, referred to as latent prints, are compared with fingerprint records of known individuals who have been convicted of or arrested for a crime. Law enforcement agencies have been working to automate this comparison process. This book also provides the current landscape of latent Automated Fingerprint Identification System (AFIS) interoperability, meaning the ability to share information between networks, systems, components, etc. The book addresses essential elements of interoperability, outlines recent advances in the field and provides a high-level strategic plan for Federal agencies to implement the necessary requirements for interoperability to enhance public safety.

Automated Fingerprint Identification System (AFIS) interoperability will support public safety throughout the United States by ensuring local law enforcement agencies are better able to coordinate their investigative fingerprinting efforts. The Federal Government has a critical role to play in implementing standards needed to achieve interoperability, developing an overarching national connectivity strategy and infrastructure, and supporting State and local agencies in building connections across jurisdictions. This report describes the current state of latent AFIS interoperability and identifies actions that can be taken by Federal agencies to support the following: Acquisition of standards-compliant systems at the Federal, State, and local-levels; Furthering connectivity efforts among law enforcement agencies; Improved governance structures to reflect the new interoperable environment; Developing mechanisms to test system performance and standards compliance; and Expanded examiner training.For over a century, fingerprints have been used among other applications to identify criminal and terrorist suspects, perform background checks, and monitor immigration status. In the context of a criminal investigation, prints found at the scene of a crime, known as latent prints, are compared with fingerprint records of known individuals who have been convicted or arrested for a crime. A “latent print” refers to any left fingerprint by an unknown source, in whole or in part, and includes those recovered from a crime scene or an item of evidence. The highly variable characteristics of latent prints complicate the identification process. When law enforcement first began using fingerprints in investigations, the comparison process was entirely manual and based on visual inspections of features found on both the latent print and the fingerprint records. AFIS systems, first introduced in the 1970s, generate a list of potential candidates that share similar fingerprint features to an encoded image of the print through the use of image recognition algorithms. The algorithms assess friction ridges and other features found on the underside of the finger and on the palm, collectively referred to as “minutiae.”