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IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
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Related Experiment Video

Updated: Jul 8, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Fingerprint verification on medical image reporting system.

Yen-Cheng Chen¹, Liang-Kuang Chen, Ming-Dar Tsai

¹Department of Medical Informatics, Shin Kong Wu Ho-Su Memorial Hospital, Taiwan.

Computer Methods and Programs in Biomedicine

|January 8, 2008

Summary

This study enhances electronic medical record (EMR) security by integrating fingerprint verification and digital technologies to protect sensitive patient data and medical images from unauthorized access in hospital systems.

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Published on: July 11, 2025

Area of Science:

Health Informatics
Information Security
Biometrics

Background:

The healthcare industry is rapidly adopting electronic medical records (EMR) for improved efficiency and interoperability.
Concerns exist regarding the confidentiality of patient data managed electronically, especially with increased internet accessibility.
Protecting sensitive medical images within EMR systems from unauthorized access is a critical challenge.

Purpose of the Study:

To develop and integrate a robust security framework for electronic medical records (EMR).
To ensure the confidentiality and integrity of patient information, including medical images, within hospital information systems.
To restrict access to Picture Archiving and Communication Systems (PACS) and Radiology Information Systems (RIS) to authorized personnel only.

Main Methods:

Integration of fingerprint verification for user authentication.
Utilization of Digital Imaging and Communications in Medicine (DICOM) object standards.
Implementation of digital signature and digital envelope techniques for data security.
Development of a system to control access to PACS and RIS.

Main Results:

A multi-layered security approach combining biometrics and cryptography was successfully integrated.
The proposed system effectively ensures that only certified parties can access sensitive medical images and patient records.
Demonstrated the feasibility of securing PACS and RIS against unauthorized electronic access.

Conclusions:

The integrated security solution addresses critical EMR confidentiality concerns, particularly for medical images.
Fingerprint verification, DICOM, digital signatures, and digital envelopes provide a comprehensive method for securing healthcare information systems.
This approach supports healthcare providers in meeting information security obligations without compromising patient care.