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Related Concept Videos

Veins of Upper Limbs01:17

Veins of Upper Limbs

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The human circulatory system, a marvel of biological engineering, is a complex network of vessels that transport blood throughout the body. Among these, the veins responsible for carrying blood from the upper limbs are divided into two categories: deep and superficial.
The deep venous system is primarily composed of the ulnar and radial veins. The ulnar vein, which drains the fingers through the superficial palmar venous arches, and the radial vein, which serves the palms via the deep palmar...
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Veins01:17

Veins

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Veins are an integral part of our circulatory system, serving as the blood vessels that transport blood from all body regions to the heart. They are a network of hollow tubes that carry blood low in oxygen from the body's cells back to the heart for reoxygenation. Veins are crucial for maintaining the body's overall fluid balance and the continuous circulation of blood.
Structure of Veins:
The structure of veins is specifically designed to assist in the low-pressure transportation of...
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Veins of Lower Limbs01:15

Veins of Lower Limbs

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The human body consists of an intricate network of veins responsible for the crucial task of blood drainage from the lower limbs. These veins can be categorized into two main types: deep veins and superficial veins.
Formed by the union of the medial and lateral plantar veins, the posterior tibial vein, rising through the calf muscle, assimilates the fibular vein. The anterior tibial vein, a superior extension of the foot's dorsalis pedis vein, merges with the posterior tibial vein at the...
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IR Frequency Region: Fingerprint Region01:03

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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...
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Veins of Head and Neck01:19

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The blood drainage from the head and neck is primarily managed by three pairs of veins: the external jugular, internal jugular, and vertebral veins. The external jugular veins drain superficial scalp and face structures, passing over the sternocleidomastoid muscles to empty into the subclavian veins.
On the other hand, the vertebral veins, unlike their arterial counterparts, are not primarily responsible for brain drainage. Instead, they drain the cervical vertebrae, spinal cord, and some small...
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Veins as Blood Reservoirs01:10

Veins as Blood Reservoirs

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Veins, while chiefly responsible for circulating blood back to the heart, also function as storage vessels for blood. They house approximately 64 percent of the body's total blood volume, a feat made possible by their high capacitance—the inherent ability to expand and accommodate large volumes of blood, even under low pressure. The large diameter and thin walls of veins augment their distensibility, significantly more so than arteries, due to their classification as capacitance...
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Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
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Finger-vein verification based on multi-features fusion.

Huafeng Qin1, Lan Qin, Lian Xue

  • 1School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing 400030, China. qinhuafengfeng@163.com.

Sensors (Basel, Switzerland)
|November 8, 2013
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Summary
This summary is machine-generated.

This study introduces an improved finger-vein identification system by combining shape, orientation, and Scale Invariant Feature Transform (SIFT) features. The novel approach consistently outperforms existing methods for biometric security.

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Area of Science:

  • Biometrics and Pattern Recognition
  • Computer Vision
  • Information Security

Background:

  • Biometric identification systems are crucial for security.
  • Finger-vein recognition offers high accuracy but faces challenges with variations.
  • Existing methods struggle to address both local and global variations effectively.

Purpose of the Study:

  • To develop a robust finger-vein identification scheme.
  • To enhance the accuracy and reliability of biometric systems.
  • To integrate multiple feature types for improved performance.

Main Methods:

  • A novel vein pattern extraction method for shape and orientation features.
  • A region-based matching scheme using Scale Invariant Feature Transform (SIFT).
  • Fusion of finger-vein shape, orientation, and SIFT features.

Main Results:

  • Consistent superiority demonstrated across two independent databases (426 and 170 fingers).
  • Effective handling of both local and global variations in finger-vein patterns.
  • Significant performance enhancement through feature fusion.

Conclusions:

  • The proposed combined feature approach significantly improves finger-vein identification accuracy.
  • This method offers a more robust solution for biometric security applications.
  • The integration of diverse features addresses limitations of single-feature methods.