Fingerprint matching combining the global orientation field with minutia

Early detection and intervention strategies for schizophrenia are receiving increasingly more attention. Dermatoglyphic patterns, such as the degree of asymmetry of the fingerprints, have been hypothesized to be indirect measures for early abnormal developmental processes that can lead to later psychiatric disorders such as schizophrenia. However, previous results have been inconsistent in trying to establish the association between dermatoglyphics and schizophrenia. The goal of this work is to try to resolve this problem by borrowing well-developed techniques from the field of fingerprint matching. Two dermatoglyphic asymmetry measures are proposed that draw on the orientation field of homologous fingers. To test the capability of these measures, fingerprint images were acquired digitally from 40 schizophrenic patients and 51 normal individuals. Based on these images, no statistically significant association between conventional dermatoglyphic asymmetry measures and schizophrenia was found. In contrast, the sample means of the proposed measures consistently identified the patient group as having a higher degree of asymmetry than the control group. These results suggest that the proposed measures are promising for detecting the dermatoglyphic patterns that can differentiate the patient and control groups.

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Fingerprint Singular Point Detection Using Orientation Field Reliability

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.4499 ◽

2011 ◽

Vol 403-408 ◽

pp. 4499-4506 ◽

Cited By ~ 2

Author(s):

Ravinder Kumar ◽

Pravin Chandra ◽

M. Hanmandlu

Keyword(s):

Singular Point ◽

Detection Rate ◽

Singular Points ◽

Identification System ◽

Fingerprint Matching ◽

Orientation Field ◽

Point Detection ◽

Field Reliability ◽

Fingerprint Alignment ◽

Novel Algorithm

Singular point detection is the most important step in Automatic Fingerprint Identification System (AFIS) and is used in fingerprint alignment, fingerprint matching, and particularly in classification. The computation of orientation field of a fingerprint can be verified by computing orientation field reliability. The most unreliable portion in orientation field can be the possible location of singular points. In this paper we have proposed a novel algorithm for detecting singular points using reliability of the fingerprint orientation field. Experimental results show that the proposed algorithm accurately detects singular points (core and delta) with the detection rate of 92.6 %.

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Correlation-Based Fingerprint Matching with Orientation Field Alignment

Advances in Biometrics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-74549-5_75 ◽

2007 ◽

pp. 713-721 ◽

Cited By ~ 8

Author(s):

Almudena Lindoso ◽

Luis Entrena ◽

Judith Liu-Jimenez ◽

Enrique San Millan

Keyword(s):

Fingerprint Matching ◽

Orientation Field

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Fingerprint matching based on local relative orientation field

Wuhan University Journal of Natural Sciences ◽

10.1007/bf02830438 ◽

2004 ◽

Vol 9 (4) ◽

pp. 435-438 ◽

Cited By ~ 2

Author(s):

Zhu En ◽

Yin Jian-ping ◽

Zhang Guo-min

Keyword(s):

Relative Orientation ◽

Fingerprint Matching ◽

Orientation Field

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Decision Making, Expertise, and Non-Analytic Cognition in Human Fingerprint Matching

PsycEXTRA Dataset ◽

10.1037/e505772014-271 ◽

2013 ◽

Author(s):

Matthew B. Thompson ◽

Jason M. Tangen ◽

Duncan J. McCarthy

Keyword(s):

Decision Making ◽

Fingerprint Matching ◽

Analytic Cognition

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Unzipping Natural Products: Improved Natural Product Structure Predictions by Ensemble Modeling and Fingerprint Matching

10.26434/chemrxiv.6863864.v1 ◽

2018 ◽

Author(s):

William A. Shirley ◽

Brian P. Kelley ◽

Yohann Potier ◽

John H. Koschwanez ◽

Robert Bruccoleri ◽

...

Keyword(s):

Natural Products ◽

Open Source ◽

Natural Product ◽

Gene Cluster ◽

Public Domain ◽

Product Structure ◽

Fingerprint Matching ◽

Ensemble Modeling ◽

Chemical Structures ◽

Source Gene

This pre-print explores ensemble modeling of natural product targets to match chemical structures to precursors found in large open-source gene cluster repository antiSMASH. Commentary on method, effectiveness, and limitations are enclosed. All structures are public domain molecules and have been reviewed for release.

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