Identification method, storage medium and electronic device of narrow strip fingerprint
A recognition method, fingerprint recognition technology, applied in character and pattern recognition, acquisition/arrangement of fingerprints/palmprints, image enhancement, etc., can solve problems such as extraction failure, unfavorable fingerprint recognition, performance degradation, etc., and achieve the effect of quick learning
Active Publication Date: 2021-05-25
SHENZHEN FUSHI TECH CO LTD
View PDF13 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Traditional fingerprint recognition methods rely on details such as fingerprint ends and cross points to achieve high fingerprint recognition accuracy. Because the fingerprint area acquired by the narrow strip fingerprint sensor is too small, the details on each fingerprint image are rarely or even impossible to extract. , leading to the inability to directly use the traditional fingerprint identification method to identify the fingerprint image acquired by the narrow strip fingerprint sensor, and the performance of the original excellent algorithm is seriously degraded
In addition to the traditional fingerprint recognition methods, there are some fingerprint recognition methods based on deep learning that can also be used for the identification of narrow bar fingerprints, but the general fingerprint recognition methods based on deep learning require the length of the fingerprint image when training a multi-image fusion classification network. It is basically the same as the width, but directly changing the aspect ratio of the narrow strip fingerprint image will cause image distortion, which is not conducive to fingerprint recognition, resulting in a greatly reduced fingerprint recognition accuracy
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0049] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments descr...
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
Login to View More Abstract
The present application provides a method for identifying narrow strip fingerprints, the method comprising: processing a plurality of different training fingerprint images into multiple training fingerprint groups according to a preset first image processing rule; feeding the multiple training fingerprint groups to Enter the multi-image fusion classification network to obtain the pre-training model; process multiple different registered fingerprint images into multiple groups of registered fingerprints according to the preset second image processing rules; feed multiple groups of registered fingerprints into the pre-trained model loaded The multi-image fusion classification network obtains the target model, and the multi-image fusion classification network loaded with the target model can identify the registered finger ID of each registered fingerprint image; input a set of fingerprint groups to be identified into the multi-image fusion classification loaded with the target model The network obtains the ID of the finger to be identified of the fingerprint image to be identified; and obtains the identification result of the fingerprint image to be identified according to the ID of the finger to be identified and a plurality of registered finger IDs. The application solves the problem that the narrow strip fingerprint is too small and difficult to identify.
Description
technical field [0001] The present application relates to the field of consumer electronics, in particular to a narrow-stripe fingerprint recognition method, a storage medium, electronic equipment, a narrow-stripe fingerprint recognition device, a method for training a narrow-stripe fingerprint recognition model, a fingerprint recognition module and a narrow-stripe fingerprint Fingerprint sensor. Background technique [0002] Fingerprint identification technology is widely used in the field of consumer electronics, such as computers, smart phones, smart watches, etc. With the continuous development of high-tech products, taking smart phones as an example, fingerprint recognition has gone through stages such as front fingerprint recognition scheme and back fingerprint recognition scheme, and has been continuously optimized. Later, some designers out of consideration for the appearance of mobile phones , and the fingerprint sensor is designed on the side of the phone. Differ...
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
Login to View More Patent Type & AuthorityPatents(China)
IPC IPC(8): G06K9/00G06K9/62G06T5/40G06T7/11
CPCG06T5/40G06T7/11G06V40/12G06F18/214
Inventor杨光兴尹鹏帅陈子豪侯舒文
OwnerSHENZHEN FUSHI TECH CO LTD