SEMI-AUTOMATED COMPUTER FINGERPRINT ENCODING AND MATCHING SYSTEM

• NCJ Number: 18065
• Author(s): R B SOLOSKO; J J PALEY
• Date Published: Unknown
• Length: 9 pages
• Contract Number(s): C60454
• Sponsoring Agency: New York State Division of Criminal Justice Services
• Corporate Author: Calspan Corporation
• Sale Source: National Institute of Justice/
• Language: English
• Country: United States of America
• Note: REPRINT

Annotation

RESULTS OF A STUDY TO DETERMINE THE FEASIBILITY AND ACCURACY OF SEMI-AUTOMATED FINGERPRINT ENCODING AND MATCHING TECHNIQUES.

Abstract

THE FINGERPRINT DESCRIPTORS THAT WERE CONSIDERED PROVIDE MORE DETAILED FINGERPRINT CHARACTERIZATION INFORMATION THAN IS PROVIDED BY THE HENRY OR AMERICAN CLASSIFICATION SYSTEMS BUT NOT AS MUCH DETAIL AS IS PROVIDED BY MINUTIAE BASED FINGERPRINT ENCODING SYSTEMS. THUS, FINGERPRINT DESCRIPTORS, SUCH AS DISTANCE AND ANGLE MEASURES BE USED TO ENHANCE THE HENRY OR AMERICAN CLASSIFICATION PROCEDURES WITHOUT THE NEED FOR THE HIGHLY ADVANCED COMPUTER SYSTEMS REQUIRED BY THE PRACTICAL HIGH-SPEED MINUTIAE BASED ENCODING TECHNIQUES. THE RESULTS OF THIS STUDY INDICATED THAT THE USE OF THE DISTANCE AND ANGLE MEASURES AS FINGERPRINT DESCRIPTORS IS FEASIBLE FOR LOOP AND WHORL TYPE FINGERPRINTS. THE ENCODING OF THE DESCRIPTORS HAS BEEN SHOWN TO BE PRACTICAL FROM A TIME AND COST POINT OF VIEW. (AUTHOR ABSTRACT)