Open AccessPhase sensitive spectral domain optical coherence tomography for latent fingerprint detection
Author(s) -
Wen Bao,
Zhihua Ding,
Chuan Wang,
Sen Mei
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.114202
Subject(s) - optical coherence tomography , computer science , fingerprint (computing) , pattern recognition (psychology) , artificial intelligence , fingerprint recognition , computer vision , optics , physics
Despite the advances made in areas such as DNA profiling, fingerprints are still considered to be the best form of personal identification for criminal investigation purposes. A variety of physical chemical and optical techniques are available for the enhancement and detection of latent fingerprints. However, existing frequently-used fingerprint detection methods show some disadvantages such as harm to fingerprints, slow extraction, potential side effects, leaving trails, high contrast demand and so on. A new method based on phase sensitive spectral domain optical coherence tomography (SD-OCT) for latent fingerprints detection is proposed. This method has advantages of non-contact non-destructive, high-speed and high-sensitivity. The experimentel results demonstrate that using this method to deal with fingerprints of low contrast also leads to satisfactory results, proving that the sensitivity of SD-OCT can be used for accurate and reliable patent fingerprint recognition.