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Biological feature recognition multi-modal fusion method and device, storage medium and equipment

A biometric identification and biometric technology, applied in the field of biometrics, can solve problems such as low quality of biometric samples, limitations of single-mode biometrics or reduced recognition accuracy, and inability to meet the requirements of high-security occasions.

Pending Publication Date: 2021-09-07
BEIJING TECHSHINO TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. Because some people may not be born with certain biological characteristics or some biological characteristics may be damaged due to external reasons and cannot be collected and identified, resulting in limitations in single-mode biometrics or a decline in recognition accuracy
[0004] 2. Due to the external environment and other reasons, the quality of certain types of biometric samples collected is low, which affects the recognition accuracy of the system, and a single biometric identification is vulnerable to prosthetic attacks, which cannot meet the requirements of some high-security occasions

Method used

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  • Biological feature recognition multi-modal fusion method and device, storage medium and equipment
  • Biological feature recognition multi-modal fusion method and device, storage medium and equipment

Examples

Experimental program
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Effect test

Embodiment 1

[0034] The embodiment of the present invention provides a biometric feature recognition multimodal fusion method, such as figure 1 As shown, the method includes:

[0035] S100: Collect multiple types of biometric samples.

[0036] In this step, the types of biometric samples include but are not limited to: face, iris, fingerprint, finger vein, palm print, voice print, etc. For example: collecting face samples and iris samples, or collecting fingerprint samples and finger vein samples.

[0037] And each type of biometric sample can be a source, such as a face sample, because the same person has only one face, so there is only one source for his face sample; each type of biometric sample can also be a different source, such as The same person has two eyes, so their iris samples have two sources, and the same person has ten fingers, so their fingerprint samples and finger vein samples have ten sources each.

[0038] There is at least one source of each type of biometric sample...

example 1

[0138] Registration phase:

[0139] Step 1. Collect multiple types of biometric sample images, which include human face samples and iris samples.

[0140] In this step, the face image and the iris image can be collected simultaneously by the same camera, or the face image and the iris image can be collected separately by two cameras.

[0141] Step 2. Perform quality analysis on the face sample and the iris sample, and obtain the face sample quality score and the iris sample quality score.

[0142] Step 3. Extract and store the face features in the face sample and the iris feature in the iris sample respectively, to obtain a face template and an iris template.

[0143] Identification / verification phase:

[0144] Step 4. Execute steps 1-3 for the user to be tested to obtain the face features and iris features to be tested.

[0145] Step 5. Comparing the face feature to be tested with the face template to obtain a face comparison result, and comparing the iris feature to be te...

example 2

[0152] To simplify the description, this example omits the registration process and only retains the identification / authentication process.

[0153] Step 1. Collect multiple biometric sample images, the biometric sample images include face images and iris images.

[0154] In this embodiment, the face image and the iris image are collected by the same camera, and the face image and the iris image are located in the same image.

[0155] Step 2, perform quality analysis on the face image and iris image, and obtain the quality score of the biometric sample image.

[0156] Step 3. The preset fusion strategy in this example is feature data fusion and comparison score fusion. It is judged whether the quality score of the biometric sample image is greater than the feature data fusion threshold. If it is greater, face detection is performed on the biometric sample image. , extract face features, and at the same time locate the position of human eyes in the process of face detection, p...

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Abstract

The invention discloses a biometric feature recognition multi-modal fusion method and device, a computer readable storage medium and equipment, and belongs to the field of biometric recognition. In the process of registration and verification / recognition of biological characteristics, various biological characteristic samples are collected, the mass fraction of the biological characteristic samples are obtained through sample quality judgment, the mass fraction and preset fusion threshold control parameters are compared according to a fusion strategy, and if fusion conditions are met, fusion processing is carried out. The fusion comprises sample data fusion, feature data fusion, comparison score fusion and comparison result fusion. Whether the fusion condition is met or not is judged according to the mass fraction of the multiple biological characteristic samples, fusion of the multiple biological characteristics is achieved, the limitation existing when identity recognition authentication is carried out through a single biological characteristic in a traditional method can be overcome, biological characteristic fusion processing is more reasonable and more effective, and a more comprehensive and safer guarantee is provided for identity identification and authentication.

Description

technical field [0001] The present invention relates to the field of biometric identification, in particular to a biometric feature identification multimodal fusion method, device, computer-readable storage medium and equipment. Background technique [0002] With the continuous development of information technology, biometric identification technology has been widely used in personal identification and authentication in financial payment and other fields. Because of the uniqueness and stability of biometrics, the use of biometrics for identity authentication has become more and more popular. However, most of the widely used in our real life are based on a single biological feature, such as face, iris, fingerprint, finger vein, etc. These single biological feature recognition has the following disadvantages: [0003] 1. Because some people may not be born with certain biological characteristics or some biological characteristics may be damaged due to external reasons and can...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F21/32
CPCG06F21/32G06F18/25G06F18/253
Inventor 周军郭秀花杨春林江武明
Owner BEIJING TECHSHINO TECH
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