Unlock instant, AI-driven research and patent intelligence for your innovation.

Finger vein and hand shape combined intelligent acquisition system and recognition method

A finger vein, intelligent acquisition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of easy rotation of fingers, and achieve the effect of wide range of use, convenient use and accurate image acquisition.

Inactive Publication Date: 2012-09-05
BEIJING JIAOTONG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Overcome various problems of single-finger recognition, for example, the finger is prone to rotation during single-finger recognition, which brings problems to the later image processing
In addition, a single finger contains relatively few features, which is likely to cause misjudgment and other problems.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Finger vein and hand shape combined intelligent acquisition system and recognition method
  • Finger vein and hand shape combined intelligent acquisition system and recognition method
  • Finger vein and hand shape combined intelligent acquisition system and recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Embodiment 1: as Figure 1-7 as shown,

[0036] A method for collecting and identifying two finger veins and finger shapes, comprising the following steps:

[0037] The collector not only collects the finger vein image, but also collects the finger shape image, and performs feature fusion on the two kinds of information. That is, the finger image is irradiated with infrared, and the venous blood cells absorb the infrared rays, so that the image of the blood vessel direction can be obtained. At the same time, the outside of the finger is completely transparent, the light is strong, and the light intensity of the edge of the finger is weak, forming a clear boundary, thereby extracting hand shape information. The feature extraction process of the finger vein network of the present invention is as follows: image 3 The source image map; for Figure 4 The grayscale stretching image of ; Figure 5 The normalization map; for Figure 6 The feature segmentation map of Fig...

Embodiment 2

[0046] Embodiment 2: as figure 1, 2 as shown,

[0047] After the tailgate 9, 10, 13 is connected, it is fixed with the base plate 1.

[0048] Strip 7,8 is the place for putting forefinger and middle finger, and stop block 14,15 is fixed on strip 7,8 next to respectively, can play the effect of fixing finger.

[0049] The inner baffles 5, 6 and the outer baffles 9, 10 form a gap.

[0050] Baffle plate 2,3,4 is a slidable part after being connected, and baffle plate 3,4 moves back and forth in above-mentioned gap, and moving principle is to stretch back and forth according to the length difference of people's finger, and the inside has spring support.

[0051] There is respectively a small platform 11,12 on the inner baffle plate 6,5, and an LED array is placed on the small platform 11,12, and the LED array is facing the inside, and the LED arrays on both sides are placed oppositely.

[0052] There is a small camera at the bottom of the box, with the lens facing upwards, to...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a finger vein and hand shape combined intelligent acquisition and recognition method. A near-infrared acquisition unit acquires images of hand shapes and finger veins, extracts characteristic point information in the images and matches the characteristic point information with the stored characteristics to obtain a final judgment result. The method comprises the following step that the near-infrared acquisition unit acquires images of the finger veins and the images of finger shapes, and performs characteristic fusion on the two kinds of information. Two-finger acquisition increases information quantity of suspected biological characteristics (for one-finger acquisition, the vein images cannot be acquired due to difference of human bodies, and the information quantity is low and the recognition error probability is high if the hand shape is only acquired), and improves the positioning accuracy simultaneously. In addition, two-side lighting facilitates placementof fingers of users, while the fingers of the users can be inserted only and the users cannot see the positions of the fingers during upper lighting. Moreover, the acquisition unit can be automatically adjusted, so the application range of the acquisition unit is wider, and the acquisition unit is more convenient to use and acquires the images more accurately.

Description

technical field [0001] The invention relates to an intelligent collection system and recognition method combining finger veins and hand shapes. The invention relates to the collection of human biological characteristics, and belongs to the technical field of capturing finger veins and hand shape images under the irradiation of an infrared light source. Background technique [0002] In today's society, people have higher and higher requirements for information security. How to accurately identify a person's identity and protect information security has become a key social problem that must be solved. Due to the fact that traditional identity authentication is extremely easy to be forged and lost, it is increasingly difficult to meet the needs of the society. The most convenient and safe solution at present is undoubtedly biometric technology. Biometrics is a scientific anti-counterfeiting verification scheme based on people's physical features such as appearance and voice for...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/20
Inventor 刘豪孙冬梅丁晓明李峰鲁雪萌马忠顺蒋应吉李京霖郑兴艳刘浩司玮
Owner BEIJING JIAOTONG UNIV