ANSI INCITS-377-2004 pdf download Information Technology – Finger Pattern Data Interchange Format
4.4 Biometric Sample
Raw data representing a biometric characteristic of an end-user as captured by a biometric system (for example, the image of a fingerprint).
4.5 Biometric System
An automated system capable of:
– capturing a biometric sample from an end user;
– extracting biometric data from that sample;
– comparing the biometric data with that contained in one or more reference templates;
– deciding how well they match; and
– indicating whether or not an identification or verification of identity has been achieved.
4.6 Bit-Depth
The number of bits used to represent a data record parameter.
4.7 Capture
The method of taking a biometric sample from the end user.
4.8 Cell
Subportion of Finger Pattern (see 4.17).
4.9 Cell Structure
Structure used to represent the information contents of cell.
4.10 Cell Quality Group
The Group of Cells to which the Finger Quality parameter refers.
4.11 Comparison
The process of comparing a biometric sample with a previously stored reference template or templates.
4.12 Crop
Remove the outer regions of an image.
4.13 Dimension
Number of pixels in an acquired biometric sample image either x- or y-direction.
4.14 Down-sample
Reduce the resolution of an image by resampling the image. This reduces the number of pixels accordingly.
4.15 Encryption
The act of converting plaintext into cyphertext through the use of an encryption algorithm.
4.16 Enrollment
The process of collecting biometric samples from an individual and the subsequent preparation and storage of biometric reference templates.
4.17 Finger Pattern
Subportion and/or down-sampled version of a Raw Fingerprint Image (see 4.22).
4.18 Finger Pattern Interchange Data
Data derived from the Finger Pattern and stored for subsequent matching with a candidate fingerprint.
4.19 Maximal Spatial Frequency
The maximal spatial frequency is the (spatial) frequency at which exactly two samples of an image span a complete period of a (co)sinusoidal pattern. This is therefore the maximal spatial frequency that can be supported by a sampling resolution, and is known as the Nyquist frequency.

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