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Hand/arm vein fusion identification method based on cumulative matching and equal error rate

A technology that integrates recognition and equal error rates. It is applied in the field of information perception and recognition, and can solve problems such as poor robustness and noise in collected data.

Active Publication Date: 2019-01-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

At present, these types of biometrics are used alone, and the single-modal identification technology has problems such as reliability, poor robustness, and noise in the collected data, which can no longer meet the current needs.

Method used

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  • Hand/arm vein fusion identification method based on cumulative matching and equal error rate
  • Hand/arm vein fusion identification method based on cumulative matching and equal error rate
  • Hand/arm vein fusion identification method based on cumulative matching and equal error rate

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Embodiment Construction

[0088] In order to make the object, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be pointed out that the specific implementations described here are only used to explain the present invention, not to limit the present invention.

[0089] Such as figure 1 as shown, figure 1 It is the overall framework diagram of the system of the hand-shaped arm vein fusion recognition method based on cumulative matching and equal error rate of the present invention, and the specific steps are as follows:

[0090] Step 1: Take pictures of hands and arms, and establish a database of users to be authenticated;

[0091] In order to obtain vein information, a near-infrared camera is used to capture images of the hand and forearm, such as figure 2 as shown, figure 2 For near-infrared hand image and contour extraction. where hand ima...

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Abstract

The invention discloses a hand / arm vein fusion identification method based on cumulative matching and an equal error rate curve, belonging to the field of information perception and recognition technology. The method proposes two levels of weights according to the recognition performance of the two biological features: firstly, the global weights of fractional fusion are calculated according to the area above the CMC curve by utilizing the characteristics of the CMC curve; then the optimal classification threshold is obtained by ERR curves, and the adaptive weights are calculated, which are multiplied as the total weights and fused with fractional weighting. This method is beneficial to highlighting the advantages of biometrics, and multi-biometrics fusion can make use of the independenceand complementarity of features, which can make up for the shortcomings of single-mode biometrics recognition.

Description

technical field [0001] The invention belongs to the technical field of information perception and recognition, and relates to a hand shape / arm vein fusion recognition method based on cumulative matching and equal error rate curves. Background technique [0002] Biometric identification technology is the use of the human body's own inherent biological and behavioral characteristics for personal identification. With the development of computer science and technology, the role of identification technology based on biometric identification in social security is becoming increasingly important. Single-modal identification technology has problems such as poor reliability, poor robustness, and noise in collected data, which can no longer meet the current needs. Multi-biological feature fusion utilizes the independence and complementarity between features, performs fusion calculations on biological features from different dimensions, maximizes the use of its advantages, reduces the...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/107G06V40/70G06V40/14
Inventor 唐超颖王彪彭晓光李丽荣
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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