CN215954322U - Finger vein image acquisition and recognition system - Google Patents

Finger vein image acquisition and recognition system Download PDF

Info

Publication number
CN215954322U
CN215954322U CN202121004913.2U CN202121004913U CN215954322U CN 215954322 U CN215954322 U CN 215954322U CN 202121004913 U CN202121004913 U CN 202121004913U CN 215954322 U CN215954322 U CN 215954322U
Authority
CN
China
Prior art keywords
finger vein
image sensor
image
disease patient
images
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN202121004913.2U
Other languages
Chinese (zh)
Inventor
何小玉
邱彦
何泽维
段玉龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Zhong Di Medical Information Technology Co ltd
Original Assignee
Chongqing Zhong Di Medical Information Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chongqing Zhong Di Medical Information Technology Co ltd filed Critical Chongqing Zhong Di Medical Information Technology Co ltd
Priority to CN202121004913.2U priority Critical patent/CN215954322U/en
Application granted granted Critical
Publication of CN215954322U publication Critical patent/CN215954322U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The utility model provides a finger vein image acquisition and identification system, which comprises: the device comprises a first image sensor and a second image sensor which are used for acquiring finger vein images of a target object; the memory is used for storing finger vein images and is respectively connected with the first image sensor and the second image sensor; and the image recognizer is used for comparing and recognizing the finger vein images and is connected with the memory. The utility model compares and identifies finger vein images from different target areas, and finally verifies the identity information of a disease patient by comparing and identifying results, so that the identity identification of the disease patient can be completed. According to the utility model, when the self-service equipment cannot perform fingerprint identification on the disease patient, the identity of the disease patient is identified by comparing and identifying finger vein images of the disease patient, so that the efficiency of identifying the identity information of the disease patient can be improved, the waiting time for the disease patient to see a doctor is reduced, and the inquiry progress of the disease patient to see a doctor is improved.

Description

Finger vein image acquisition and recognition system
Technical Field
The utility model relates to the technical field of image acquisition, in particular to a finger vein image acquisition and identification system.
Background
With the development of technology, most hospitals are provided with self-service equipment to provide self-service services for hospitals and/or patients with diseases, and when the patients with diseases are self-serviced (for example, self-service printing of examination reports) by the self-service equipment in the hospitals, the hospitals and/or the self-service equipment can identify the patients with diseases. The existing self-service equipment generally adopts fingerprint identification when identifying, but some elderly patients with diseases have serious fingerprint abrasion and other conditions due to age and/or occupational problems, so that the normal fingerprint input and identification of the elderly patients cannot be carried out by the self-service equipment, and the diagnosis progress of the elderly patients is influenced.
In addition, when a disease patient is treated in a hospital, the hospital needs to identify the disease patient, and the current mainstream way for identifying the disease patient in the hospital is to identify the disease patient by using information storage media such as bar code paper, a treatment card, an identification card and the like; because the information storage media exist in a physical form, the information of the patient with the disease is easy to be read out unsuccessfully or the information matching is wrong due to external factors to a certain extent, for example, the bar code paper and the treatment card are only two kinds of information storage media temporarily generated by a hospital for facilitating the treatment of the patient with the disease, and the bar code paper and the treatment card are easy to damage and lose.
SUMMERY OF THE UTILITY MODEL
In view of the above disadvantages of the prior art, an object of the present invention is to provide a finger vein image collecting and identifying system, which is used for solving the problem that when a disease patient uses a self-service device to perform fingerprint identification, an aged disease patient with worn fingerprints cannot normally enter fingerprints, so that the aged disease patient cannot perform identity identification.
In order to achieve the above and other related objects, the present invention provides a finger vein image collecting and identifying system, which comprises:
the device comprises a first image sensor and a second image sensor, wherein the first image sensor and the second image sensor are used for acquiring finger vein images of a target object and are positioned in different target areas;
the memory is used for storing finger vein images and is respectively connected with the first image sensor and the second image sensor;
and the image recognizer is used for comparing and recognizing finger vein images and is connected with the memory.
Optionally, the system further comprises a display connected to the image recognizer, and the display is used for displaying the comparison recognition result of the finger vein image.
Optionally, the system further comprises a self-service printing device for printing the target object inspection report, and the self-service printing device is respectively connected with the memory and the image identifier.
Optionally, the first image sensor is arranged in a hospital clinic information registration room;
the second image sensor is arranged on the self-service printing equipment.
Optionally, the memory is located in a hospital information system, a laboratory information management system, a medical image archiving and communication system, and/or a radiology information management system.
As described above, the present invention provides a finger vein image acquisition and recognition system, which has the following beneficial effects: the utility model discloses a finger vein image of target object (for example, the disease patient of hospital) is gathered through image sensor, then will detect the finger vein image of gathering and store to the memory in, and compare the discernment to the finger vein image that derives from different target areas (for example, derive from hospital information registration room, self-service printing equipment), verify disease patient's identity information through comparing the recognition result at last to accomplish the identification to disease patient. When the self-service equipment cannot perform fingerprint identification on the disease patient, the identity of the disease patient can be identified by acquiring, comparing and identifying finger vein images of the disease patient, so that the efficiency of identifying the identity information of the disease patient is improved, the waiting time for the disease patient to see a doctor is shortened, and the inquiry progress of the disease patient to see a doctor is improved.
Drawings
Fig. 1 is a schematic hardware structure diagram of a finger vein image acquisition and identification system according to an embodiment.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The utility model is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
Referring to fig. 1, the present embodiment provides a finger vein image capturing and identifying system, which includes: a first image sensor, a second image sensor, a memory, and an image recognizer; wherein the content of the first and second substances,
the first image sensor and the second image sensor are used for acquiring finger vein images of the target object, and the first image sensor and the second image sensor are located in different target areas. By way of example, in the embodiments of the present application, the target object includes, but is not limited to, a person suffering from a certain disease or diseases, or simply a disease patient. The first image sensor is arranged in a hospital information registration room, and the second image sensor is arranged on the self-service printing equipment. The hospital visit information registration room is a place where the visit information registration of the disease patient is performed when the disease patient first enters the hospital, the self-service printing device refers to a device or an instrument for printing a report on the disease patient, and the report which can be printed by the self-service printing device includes but is not limited to: a diagnostic report, an examination report; and the self-service printing equipment is respectively connected with the memory and the image recognizer. In the embodiment of the present application, the first image sensor and the second image sensor refer to image sensors in a vein recognizer, and the principle of acquiring images of finger veins may be as follows: by utilizing the characteristic that red blood cells in veins absorb specific near infrared rays, the near infrared rays irradiate the finger, and the image sensor senses light transmitted by the finger to acquire a vein image inside the finger, so that biological feature recognition is performed. When the near infrared rays are transmitted, the veins are highlighted on the image sensed by the image sensor, and muscles, bones and other parts of the finger are weakened, so that a clear vein blood vessel image, namely a finger vein image, is obtained.
The memory is used for storing finger vein images and is respectively connected with the first image sensor and the second image sensor. The finger vein images that can be stored in the memory include, but are not limited to: the first image sensor is used for acquiring finger vein images of the disease patients in a hospital visit information registration room, and the second image sensor is used for acquiring finger vein images of the disease patients in a self-service printing device. As an example, the memory in the embodiment of the present application may be located in a Hospital Information System HIS (Hospital Information System, HIS for short), a Laboratory Information Management System LIS (LIS for short), a Picture archiving and communication System PACS (PACS for short), and/or a Radiology Information Management System RIS (RIS for short).
The image recognizer is used for comparing and recognizing finger vein images and is connected with the memory. The image recognizer in the embodiment of the present application may compare the recognized finger vein images, including but not limited to: the digital vein image of the disease patient collected by the first image sensor at the hospital visit information registration room is stored in the memory, and the digital vein image of the disease patient collected by the second image sensor at the self-service printing device is stored in the memory. By way of example, the image recognizer in the embodiment of the present application is an existing device, apparatus and/or instrument capable of performing comparison recognition on two finger vein images, and the present embodiment merely performs comparison recognition on finger vein images by using an existing finger vein image comparison recognition device, apparatus and/or instrument, without improving or changing the comparison recognition principle. For example, taking a certain existing finger vein image comparison and recognition device as an example, the process of performing comparison and recognition on two finger vein images may be: acquiring two finger vein images to be compared, wherein the two finger vein images to be compared are respectively a finger vein image acquired by a first image sensor and a finger vein image acquired by a second image sensor, and the finger vein images to be compared are single-channel images. And carrying out image channel fusion on the two finger vein images to be compared to obtain a two-channel target finger vein image to be compared. Inputting the target finger vein image to be compared into a feature extractor, and extracting the feature vector of the target finger vein image to be compared through the feature extractor, wherein the feature extractor is obtained by adopting a two-channel convolutional neural network for training. Inputting the feature vectors of the target finger vein images to be compared into a two-classification device to obtain two-classification results; and determining whether the two finger vein images to be compared are from the same finger or not according to the classification result. If the value obtained by the classification result is 0, determining that the two finger vein images to be compared are from the same finger; and if the value obtained by the classification result is 1, determining that the two finger vein images to be compared are not from the same finger. Namely, the two classification results are 0, which means that the two finger vein images to be compared come from the same finger, and the two classification results are 1, which means that the two finger vein images to be compared do not come from the same finger.
In an exemplary embodiment, the system for capturing and identifying images of finger veins further comprises a display connected with the image identifier, and the display is used for displaying the comparison and identification results of the images of finger veins. For example, when the comparison and identification are successful, that is, when the result of the classification is 0, the word such as "successful identification" is displayed; when the comparison and identification fail, namely when the result of the classification is 1, characters such as 'identification fail, please re-identify' and the like are displayed.
According to the above description, the finger vein image acquisition and identification system of the present invention can be connected to the existing hospital information system HIS, laboratory information management system LIS, medical image archiving and communication system PACS, radiology information management system RIS, and the like. When a disease patient enters a hospital for the first time, a finger vein image of the disease patient is collected in a hospital visit information registration room, and then the collected finger vein image is used as an identification code of the disease patient in the hospital or other medical system. Meanwhile, because the finger vein images of each person are different, the vein images of different fingers of the same person are different, and the vein shape of a healthy adult does not change any more. Therefore, the finger vein image can be used as the identification code of the disease patient, and compared with the existing identification code of the disease patient, which is the bar code paper and the treatment card, the finger vein image has uniqueness and stability, and the risk of damage, loss and the like is avoided. In addition, after the patients with diseases have been treated, the patients with diseases can enter finger vein images again in departments or halls equipped with self-service printing equipment, then compare and identify the finger vein images entered at the current moment with the finger vein images entered in the hospital treatment information registration room by using the image identifier, and judge whether the images are the same finger according to the comparison and identification results of the image identifier. When the finger vein images input twice come from the same finger, the corresponding detection report and diagnosis report can be printed by the disease patient after the comparison and identification are successful, so that the identity of the disease patient can be identified by acquiring, comparing and identifying the finger vein images of the disease patient when the self-service equipment cannot identify the fingerprint of the disease patient, the waiting time for the disease patient to see a doctor is shortened, the inquiry progress of the disease patient to see a doctor is improved, and the diagnosis efficiency of a hospital is improved. Moreover, since the venous blood vessels are hidden inside the fingers, the vein blood vessels are extremely difficult to copy and steal, and compared with other technologies which utilize the characteristics of the human body outside the human body, the vein blood vessels are higher in safety. Meanwhile, the vein can sense the blood flow and blood pressure conditions in the finger, and the living body detection can be carried out in the identification process.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the utility model. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
It should be understood that although the terms first, second, third, etc. may be used to describe preset ranges, etc. in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, the first preset range may also be referred to as a second preset range, and similarly, the second preset range may also be referred to as the first preset range, without departing from the scope of the embodiments of the present invention.

Claims (5)

1. A finger vein image acquisition and identification system is characterized by comprising:
the device comprises a first image sensor and a second image sensor, wherein the first image sensor and the second image sensor are used for acquiring finger vein images of a target object and are positioned in different target areas;
the memory is used for storing finger vein images and is respectively connected with the first image sensor and the second image sensor;
and the image recognizer is used for comparing and recognizing finger vein images and is connected with the memory.
2. The system for collecting and identifying images of finger veins according to claim 1, further comprising a display connected with the image identifier, wherein the display is used for displaying the comparison and identification results of the images of finger veins.
3. The finger vein image acquisition and identification system according to claim 1, further comprising a self-service printing device for printing a target object inspection report, wherein the self-service printing device is respectively connected with the memory and the image identifier.
4. The finger vein image acquisition and identification system according to claim 3, wherein the first image sensor is provided in a hospital clinic information registration room;
the second image sensor is arranged on the self-service printing equipment.
5. The system for collecting and identifying finger vein images according to claim 1, wherein the memory is located in a hospital information system, a laboratory information management system, a medical image archiving and communication system and/or a radiology information management system.
CN202121004913.2U 2021-05-11 2021-05-11 Finger vein image acquisition and recognition system Expired - Fee Related CN215954322U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202121004913.2U CN215954322U (en) 2021-05-11 2021-05-11 Finger vein image acquisition and recognition system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202121004913.2U CN215954322U (en) 2021-05-11 2021-05-11 Finger vein image acquisition and recognition system

Publications (1)

Publication Number Publication Date
CN215954322U true CN215954322U (en) 2022-03-04

Family

ID=80566816

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202121004913.2U Expired - Fee Related CN215954322U (en) 2021-05-11 2021-05-11 Finger vein image acquisition and recognition system

Country Status (1)

Country Link
CN (1) CN215954322U (en)

Similar Documents

Publication Publication Date Title
US20110093290A1 (en) Information management system and method for an implantable medical device
Kumar et al. Health monitoring framework for in time recognition of pulmonary embolism using internet of things
JP4087640B2 (en) Disease candidate information output system
US20080212847A1 (en) Method and system for identifying medical sample information source
CN108523869A (en) The method and system of the coronary artery disease in people is detected for using fusion method
US20160228008A1 (en) Image diagnosis device for photographing breast by using matching of tactile image and near-infrared image and method for aquiring breast tissue image
US20210166812A1 (en) Apparatus and methods for the management of patients in a medical setting
CN109346164A (en) A kind of automatic acquisition equipment and method of tcm clinical practice case
CN112562860A (en) Training method and device of classification model and coronary heart disease auxiliary screening method and device
Sharma et al. Heart disease prediction using convolutional neural network
CN115862819A (en) Medical image management method based on image processing
CN114220543B (en) Body and mind pain index evaluation method and system for tumor patient
CN215954322U (en) Finger vein image acquisition and recognition system
JP2001076072A (en) Solid body discriminating system
Sandeep et al. ECG classification using machine learning
CN111243728A (en) Intelligent traditional Chinese medicine four-diagnosis information fusion system, method and storage medium
JP7178910B2 (en) Information processing device, medical image processing device, and program
CN112885435B (en) Method, device and system for determining image target area
CN208985716U (en) A kind of automatic acquisition equipment of tcm clinical practice case
Jain et al. A survey on pneumonia detection methods using computer-aided diagnosis
Trivedi et al. Dental image processing for human identification
CN114145722B (en) Pulse pathological feature mining method for pancreatitis patients
Radvansky et al. Identification of the Occurrence of Poor Blood Circulation in Toes by Processing Thermal Images from Flir Lepton Module
CN110415778A (en) A kind of individual health data management method and system based on cloud data
KR20190143657A (en) Apparatus and method for alignment of bone suppressed chest x-ray image

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20220304