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PUBLICATIONS

User's Guide to NIST Biometric Image Software (NBIS)

Published

Author(s)

Kenneth Ko

Abstract

This document (User's Guide to NIST Biometric Image Software (NBIS)) is renamed from the User's Guide to NIST Fingerprint Image Software (NFIS). In other word, this document is a replacement for the User's Guide to NIST Fingerprint Image software (NFIS). The majority of the contents in the NBIS document remain unchanged from the NFIS document. Here are the highlights of the change: 10 Extracted out the export controlled contenets from the User's Guide to NIST Fingerprint Image software (NFIS) and renamed to User's Guide to NIST Biometric Image Software (NBIS). 2) This report documents the non-export controlled distribution of biometric image software. The non-export controlled NBIS software is organized into five major packages. 1. PCASYS is a neural network based fingerprint pattern classification system; 2. MINDTCT is a fingerprint minutiae detector; 3. NFIQ is a neural network based fingerprint image quality algorithm; 4. AN2K is a reference implementation of the ANSI/NIST-ITL 1-2000 "Data format for the Interchange of Fingerprint, Facial, Scar Mark & Tattoo (SMT) Information" standard; and 5. IMGTOOLS is a collection of image utilities, including encoders and decoders for Baseline and Lossless JPEG and the FBI's WSQ specification. 3) A new introduction to inform the users of the new organization of the NBIS software. 4) A new installation guide on how to build the NBIS software. 5) Reorganized the format of the User's Guide to NIST Biometric Image Software (NBIS).
Citation
NIST Interagency/Internal Report (NISTIR) - 7392
Report Number
7392
NIST Pub Series
NIST Interagency/Internal Report (NISTIR)
Pub Type
NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.IR.7392
Biometrics

Citation

Ko, K. (2007), User's Guide to NIST Biometric Image Software (NBIS), NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.7392 (Accessed April 23, 2024)

Created January 21, 2007, Updated November 10, 2018