Paper Info
Title
Newborn and infant footprint crease pattern extraction
Abstract
Medical staff around the world must take reasonable steps to identify newborns and infants clearly, so as to prevent mix-ups, and to ensure the correct medication reaches the correct child. Footprints are frequently taken despite verification with footprints being challenging due to strong noise. The noise is introduced by the tininess of the structures, movement during capture, and the infant's rapid growth. In this article we address the image processing part of the problem and introduce a novel algorithm for the extraction of creases from infant footprints. The algorithm uses directional filtering on different resolution levels, morphological processing, and block-wise crease line reconstruction. We successfully test our method on noise-affected infant footprints taken from the same infants at different ages.
Year
DOI
Venue
2013
10.1109/ICIP.2013.6738861
Image Processing
Keywords
Field
DocType
biometrics (access control),feature extraction,image reconstruction,image resolution,medical image processing,biometrics,block-wise crease line reconstruction,correct medication,image processing,infant footprint crease pattern extraction,infant identification,morphological processing,newborn footprint crease pattern extraction,newborn identification,resolution levels,Biometrics,crease pattern extraction,infant footprint
Directional filtering,Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Morphological processing,Image processing,Feature extraction,Footprint,Artificial intelligence,Biometrics,Image resolution
Conference
ISSN
Citations 
PageRank 
1522-4880
2
0.63
References 
Authors
3
4
Name
Order
Citations
PageRank
Johannes Kotzerke162.10
Stephen A. Davis2193.46
Kathy J. Horadam3338.63
Jodie McVernon492.43