Binarized skeleton

Binarized skeleton, a part of algorithm transparency, is a monochromatic (black and white) image, from which skeleton construction starts. Two skeletons are built during feature extraction, one for ridges and one for valleys. Binarized skeleton for ridges is a copy of filtered binary image while binarized skeleton for valleys is its inverted version filtered through pixel mask. Binarized skeleton is processed into thinned skeleton.

Visualization

Visualization of binarized skeleton image below was constructed from this stage's binary data with original fingerprint in the background. Visualization itself is not part of transparency data.

Format

Binarized skeleton format is identical to that of binarized image.

Example: 022-ridges-binarized-skeleton.cbor

{
  "width": 388,
  "height": 374,
  "cells": [
    false,
    false,
    "... skipped 145,108 items ...",
    false,
    false
  ]
}