CN110974245A - Health analysis method, device and system based on palm print extraction and recognition - Google Patents
Health analysis method, device and system based on palm print extraction and recognition Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 36
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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Abstract
The embodiment of the invention discloses a health analysis method, a device and a system based on palmprint extraction and identification, wherein the method comprises the following steps: acquiring a palm print image to be processed; adopting a plurality of different measuring and calculating modes to identify, measure and analyze the palm print image to be processed to obtain the abnormal age; and acquiring corresponding comments according to the abnormal age, wherein the comments comprise disease details and corresponding prevention suggestions, emotion details and corresponding improvement prevention suggestions, overstimulation behavior details and corresponding improvement prevention suggestions. By implementing the embodiment of the invention, the age of the occurrence of the event (disease, emotion or overstrain behavior) can be measured, and the fuzzy ambiguous judgment of the hand print test is not required, so that the electronic application blank in the field is filled.
Description
Technical Field
The invention relates to the technical field of palm print extraction, identification and analysis, in particular to a health analysis method, a health analysis device and a health analysis system based on palm print extraction and identification.
Background
Different regions of the palm correspond to different organs of the body. The clinical practice of traditional Chinese medicine shows that: the changes of the palmprint can reflect the abundance or insufficiency of each organ in the human body. There are eight kinds of abnormal patterns commonly seen on the palm: the cross-shaped lines, the meter-shaped lines, the triangular lines, the island lines, the annular lines, the well-shaped lines, the square lines and the star-shaped lines are windows for acquiring health information from the identifiers. In the early stage of disease development, the disease condition is mild, the palm may have ten-shaped lines, if the conditioning treatment is not performed in time, the ten-shaped lines and the rice-shaped lines gradually change, which indicates that the corresponding organs in the area may be gradually diseased, and the disease condition is severe in the long course of disease. When abnormal lines appear in the corresponding area of the palm, it generally has certain clinical significance. Therefore, the health condition of each organ of the human body can be predicted by observing the area of the abnormal pattern on the palm, so that credible health guidance can be obtained.
Based on the principle, the health condition of people is mostly detected by adopting a palm print acquisition and standard palm print matching method at present. However, these are all detection and analysis of the current health condition of people, and how to accurately predict the disease occurrence age, the overstimulation emotion occurrence age and the overstimulation behavior occurrence age in the prior art is still in a blank state.
Disclosure of Invention
The embodiment of the invention aims to provide a health analysis method, a health analysis device and a health analysis system based on palm print extraction and identification, so as to measure and calculate the age of an event (disease, emotion or overstimulation behavior).
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a health analysis method based on palmprint extraction and recognition, including:
acquiring a palm print image to be processed;
adopting a plurality of different measuring and calculating modes to identify, measure and analyze the palm print image to be processed to obtain the abnormal age;
and acquiring corresponding comments according to the abnormal age, wherein the comments comprise disease details and corresponding prevention suggestions, emotion details and corresponding improvement prevention suggestions, overstimulation behavior details and corresponding improvement prevention suggestions.
As a specific implementation manner of the present application, acquiring a palm print image to be processed specifically includes:
and photographing or scanning the palm print image to be processed by image acquisition equipment.
As a specific embodiment of the present application, the method specifically includes:
calculating a measurement base point according to the unique ratio of the fingers to the palm in the palm print image to be processed;
connecting the measurement base point with various lines in the palm print image to be processed to form a plurality of rays;
determining abnormal grains according to a preset grain judgment standard and a plurality of rays;
and determining the abnormal age according to the pre-marked age scale and the abnormal grain.
Further, the calculating of the measurement base point specifically includes:
measuring the length of a thumb in the palmprint image to be processed in a thumb measuring and calculating mode, drawing a down line with the length equal to that of the thumb downwards from a selected point at the root of the index finger, and determining the falling point of the down line in the range of the thenar as the measuring base point;
measuring the length of an index finger in the palm print image to be processed in an index finger measuring and calculating mode, drawing a down line with the length equal to that of the index finger downwards from a selected point at the root of the index finger, and determining the falling point of the down line in the range of the thenar as the measuring base point;
measuring the length of a middle finger in the palm print image to be processed in a middle finger measuring and calculating mode, drawing a down line with the length equal to that of the middle finger downwards from a selected point at the root of the middle finger, and determining a falling point of the down line in a palm range as a measuring base point;
in the surimi measurement and calculation mode, measuring the length of the index finger in the palm print image to be processed, drawing a down line with the length equal to that of the ring finger downwards from a selected point at the root of the little finger, and determining the falling point of the down line in the range of the hypothenar as the measurement base point.
In a second aspect, an embodiment of the present invention provides a health analysis apparatus based on palmprint extraction and recognition, including:
the acquisition module is used for acquiring a palm print image to be processed;
the measuring and calculating module is used for identifying, measuring and analyzing the palm print image to be processed by adopting a plurality of different measuring and calculating modes to obtain the abnormal age;
and the comment module is used for acquiring a corresponding comment according to the abnormal age, wherein the comment comprises disease details and a corresponding prevention suggestion, emotion details and a corresponding improvement prevention suggestion, overstimulation details and a corresponding improvement prevention suggestion.
Further, the measurement and calculation module is specifically configured to:
calculating a measurement base point according to the unique ratio of the fingers to the palm in the palm print image to be processed;
connecting the measurement base point with various lines in the palm print image to be processed to form a plurality of rays;
determining abnormal grains according to a preset grain judgment standard and a plurality of rays;
and determining the abnormal age according to the pre-marked age scale and the abnormal grain.
In a third aspect, an embodiment of the present invention further provides another health analysis apparatus based on palmprint extraction and recognition, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method of the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a health analysis system based on palmprint extraction and recognition, including an image acquisition device and an analysis apparatus, which are in mutual communication. Wherein the analysis device is as described above.
Further, the analysis device comprises a computer, an intelligent analyzer or a mobile terminal loaded with a palm print extraction and identification program.
By implementing the embodiment of the invention, the age of the occurrence of the event (disease, emotion or overstrain behavior) can be measured, and the fuzzy ambiguous judgment of the hand print test is not required, so that the electronic application blank in the field is filled.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below.
FIG. 1 is a schematic view of a thumb gauge;
FIG. 2 is a schematic view of index finger measurement;
FIG. 3 is a schematic diagram of a middle finger measurement;
FIG. 4 is a schematic view of a ring finger calculation;
FIG. 5 is a schematic flow chart of a health analysis method based on palm print extraction and recognition provided by an embodiment of the present invention;
FIG. 6 is a schematic flow chart of a health analysis system based on palm print extraction recognition provided by an embodiment of the present invention;
FIG. 7 is a schematic diagram of one configuration of the analysis device of FIG. 6;
FIG. 8 is a schematic view of another embodiment of the analysis device of FIG. 6.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
For a better understanding of the embodiments of the present invention, the following description is given to the principle thereof:
the ratio of each human finger to the palm is different. According to the embodiment of the invention, a measurement base point is calculated according to the unique ratio of the fingers and the palm. The base point is connected with various lines in the hand by rays, and then the age of the abnormal mark of the line can be calculated according to the age scales marked on the periphery of the palm (including the finger root and the finger seam). Therefore, the special change of the age, the disease, the emotion, the behavior and the like can be judged. The measuring and calculating modes can be divided into the following four modes:
1. thumb reckoning mode
The thumb is the most important finger of the five fingers. Traditional Chinese medicine has proved that the thumb is closely related to the qi and blood functions of the heart and lung of people. As shown in figure 1, the length of the thumb is measured, and a down-line with the length equal to that of the thumb is drawn downwards from the selected point at the root of the index finger. The falling point of the down plumb line in the range of the thenar is the measuring base point of the thumb measuring and calculating mode. The easy-to-send age of the physical and mental patients can be measured through the base point. In fig. 1, the white small square part is a specific age mark, for example, the white small square of the index finger part is marked as 20 years old, the white small square of the middle finger part is marked as 25 years old, and the like.
2. Index finger measurement mode
The index finger is closely related to the gallbladder channel (meridians) in traditional Chinese medicine. The records of Huangdi's classic in TCM are the officer of the book of gallbladder Jue. As shown in FIG. 2, the length of the index finger is measured, and a vertical line with the length equal to that of the index finger is drawn from the root of the index finger, and the falling point of the vertical line in the range of the large thenar is the measuring base point of the index finger measuring mode. The behavior characteristics and the like of different age groups can be measured through the base point. It should be noted that the small white square in fig. 2 is labeled with a specific age.
3. Middle finger measurement mode
The middle finger is closely related to the pericardium channel (meridians) in TCM. The pericardial channel reflects the heart and psychological problems of a person recorded in the emperor's internal channel' of traditional Chinese medicine. As shown in fig. 3, the length of the middle finger is measured, and a vertical line equal to the length of the middle finger is drawn from the root of the middle finger, and the falling point of the vertical line in the palm range is the measurement base point of the middle finger measurement mode. By means of the base point, mental features and physiological disorders of different ages can be measured. It should be noted that the small white square in fig. 3 is labeled with a specific age.
4. Anonymous finger measurement and calculation mode
The ring finger is closely related to the pericardium channel and the triple energizer channel in the traditional Chinese medicine meridians. Often, the emotional fluctuation of a person is most easily reflected in the meridian. As shown in fig. 4, the length of the ring finger is measured, and a vertical line equal to the length of the ring finger is drawn from the root of the little finger, and the falling point of the vertical line in the hypothenar range is the measurement base point of the measuring and calculating mode of the ring finger. The emotional characteristics and emotional fluctuation of different ages and emotional diseases which are easy to cause can be measured through the base point. It should be noted that the small white square in fig. 4 is labeled with a specific age.
Based on the principle, the embodiment of the invention provides a health analysis method based on palm print extraction and identification. It should be noted that the method can be applied to a plurality of technical fields such as health maintenance, intelligent detection instruments, training education and the like. The hardware body for executing the following method steps can be understood as a computer, an intelligent analyzer, or a mobile terminal (such as a mobile phone) loaded with a palm print extraction and identification program, but is not limited thereto.
As shown in fig. 5, the method includes:
and S1, acquiring a palm print image to be processed.
Specifically, the image acquisition device acquires a palm print image to be processed in a photographing or scanning manner, and transmits the palm print image to a computer or the like.
And S2, adopting a plurality of different measuring and calculating modes to identify, measure and analyze the palm print image to be processed to obtain the abnormal age.
Specifically, step S2 includes:
calculating a measurement base point according to the unique ratio of the fingers to the palm in the palm print image to be processed; for a specific calculation method of the measurement base point, please refer to the foregoing principle part, which is not described herein again;
connecting the measurement base point with various lines in the palm print image to be processed to form a plurality of rays;
determining abnormal grains according to a preset grain judgment standard and a plurality of rays; if the lines have continuity or nonlinearity, such as bifurcation, discontinuity, turning or turning, etc., the lines are considered to be abnormal lines;
and determining the abnormal age according to the pre-marked age scale and the abnormal grain. For example, if the texture at a in fig. 1 is determined to be an abnormal texture, it can be determined that it corresponds to an age of 20 years.
And S3, acquiring corresponding comments according to the abnormal ages.
The comments comprise disease details and corresponding prevention suggestions, emotion details and corresponding improvement prevention suggestions, overstimulation details and corresponding improvement prevention suggestions.
From the above description, it can be seen that the method of the embodiment of the present invention takes a picture or scans a palm print, transmits the image to a computer (or an intelligent analyzer, a mobile phone APP), extracts and analyzes various complexion features, bone features, muscle features, and dermatoglyph features in the palm print picture, and finally makes judgment and improvement prevention suggestions for abnormal ages such as health, personality, emotion, behavior, and the like. Because the embodiment of the invention can measure and calculate the age of the occurrence of an event (disease, emotion or overstimulation behavior), the error is not more than 1 year before or after the actual occurrence time, and the fuzzy judgment of the hand print test is not needed, the advanced diagnosis and the advanced intervention are really realized, and the electronic application blank in the field is filled.
Based on the same inventive concept, as shown in fig. 6, an embodiment of the present invention further provides a health analysis system based on palm print extraction and recognition, which includes an image capture device 100 and an analysis apparatus 200 that communicate with each other. The image capturing device 100 may be, but not limited to, a camera or a scanner, which is used to capture a palm print image to be processed by taking a picture or scanning and transmit the image to the analysis apparatus 200.
As shown in fig. 7, the analyzer 200 includes:
the acquisition module 10 is used for acquiring a palm print image to be processed;
the measuring and calculating module 11 is configured to identify, measure and analyze the palm print image to be processed by using multiple different measuring and calculating modes to obtain an abnormal age;
and the comment module 12 is configured to obtain a corresponding comment according to the abnormal age, where the comment includes a disease detail and a corresponding prevention suggestion, an emotion detail and a corresponding improvement prevention suggestion, an overstimulation detail and a corresponding improvement prevention suggestion.
Further, the calculation module 11 is specifically configured to:
calculating a measurement base point according to the unique ratio of the fingers to the palm in the palm print image to be processed;
connecting the measurement base point with various lines in the palm print image to be processed to form a plurality of rays;
determining abnormal grains according to a preset grain judgment standard and a plurality of rays;
and determining the abnormal age according to the pre-marked age scale and the abnormal grain.
Further, the calculating of the measurement base point specifically includes:
measuring the length of a thumb in the palmprint image to be processed in a thumb measuring and calculating mode, drawing a down line with the length equal to that of the thumb downwards from a selected point at the root of the index finger, and determining the falling point of the down line in the range of the thenar as the measuring base point;
measuring the length of an index finger in the palm print image to be processed in an index finger measuring and calculating mode, drawing a down line with the length equal to that of the index finger downwards from a selected point at the root of the index finger, and determining the falling point of the down line in the range of the thenar as the measuring base point;
measuring the length of a middle finger in the palm print image to be processed in a middle finger measuring and calculating mode, drawing a down line with the length equal to that of the middle finger downwards from a selected point at the root of the middle finger, and determining a falling point of the down line in a palm range as a measuring base point;
in the surimi measurement and calculation mode, measuring the length of the index finger in the palm print image to be processed, drawing a down line with the length equal to that of the ring finger downwards from a selected point at the root of the little finger, and determining the falling point of the down line in the range of the hypothenar as the measurement base point.
In another preferred embodiment of the present application, as shown in fig. 8, the analysis device may include: one or more processors 101, one or more input devices 102, one or more output devices 103, and memory 104, the processors 101, input devices 102, output devices 103, and memory 104 being interconnected via a bus 105. The memory 104 is used for storing a computer program comprising program instructions, the processor 101 being configured for invoking the program instructions for performing the methods of the above-described method embodiment parts.
It should be understood that, in the embodiment of the present invention, the Processor 101 may be a Central Processing Unit (CPU), and the Processor may also be other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 102 may include a keyboard or the like, and the output device 103 may include a display (LCD or the like), a speaker, or the like.
The memory 104 may include read-only memory and random access memory, and provides instructions and data to the processor 101. A portion of the memory 104 may also include non-volatile random access memory. For example, the memory 104 may also store device type information.
In a specific implementation, the processor 101, the input device 102, and the output device 103 described in the embodiment of the present invention may execute the implementation manner described in the embodiment of the health analysis method based on palm print extraction and recognition provided in the embodiment of the present invention, and details are not described here again.
The health analysis system and the device based on palm print extraction and identification provided by the embodiment of the invention can measure and calculate the age of an event (disease, emotion or overstrain behavior), and do not have the fuzzy judgment of a hand print test in the prior art, thereby filling the gap of electronic application in the field.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A health analysis method based on palm print extraction and recognition is characterized by comprising the following steps:
acquiring a palm print image to be processed;
adopting a plurality of different measuring and calculating modes to identify, measure and analyze the palm print image to be processed to obtain the abnormal age;
and acquiring corresponding comments according to the abnormal age, wherein the comments comprise disease details and corresponding prevention suggestions, emotion details and corresponding improvement prevention suggestions, overstimulation behavior details and corresponding improvement prevention suggestions.
2. The method according to claim 1, wherein acquiring the palm print image to be processed specifically comprises:
and photographing or scanning the palm print image to be processed by image acquisition equipment.
3. The method according to claim 2, characterized in that the method comprises in particular:
calculating a measurement base point according to the unique ratio of the fingers to the palm in the palm print image to be processed;
connecting the measurement base point with various lines in the palm print image to be processed to form a plurality of rays;
determining abnormal grains according to a preset grain judgment standard and a plurality of rays;
and determining the abnormal age according to the pre-marked age scale and the abnormal grain.
4. A method according to claim 3, wherein calculating a measurement base point comprises in particular:
measuring the length of a thumb in the palmprint image to be processed in a thumb measuring and calculating mode, drawing a down line with the length equal to that of the thumb downwards from a selected point at the root of the index finger, and determining the falling point of the down line in the range of the thenar as the measuring base point;
measuring the length of an index finger in the palm print image to be processed in an index finger measuring and calculating mode, drawing a down line with the length equal to that of the index finger downwards from a selected point at the root of the index finger, and determining the falling point of the down line in the range of the thenar as the measuring base point;
measuring the length of a middle finger in the palm print image to be processed in a middle finger measuring and calculating mode, drawing a down line with the length equal to that of the middle finger downwards from a selected point at the root of the middle finger, and determining a falling point of the down line in a palm range as a measuring base point;
in the surimi measurement and calculation mode, measuring the length of the index finger in the palm print image to be processed, drawing a down line with the length equal to that of the ring finger downwards from a selected point at the root of the little finger, and determining the falling point of the down line in the range of the hypothenar as the measurement base point.
5. A health analysis device based on palm print extraction and recognition is characterized by comprising:
the acquisition module is used for acquiring a palm print image to be processed;
the measuring and calculating module is used for identifying, measuring and analyzing the palm print image to be processed by adopting a plurality of different measuring and calculating modes to obtain the abnormal age;
and the comment module is used for acquiring a corresponding comment according to the abnormal age, wherein the comment comprises disease details and a corresponding prevention suggestion, emotion details and a corresponding improvement prevention suggestion, overstimulation details and a corresponding improvement prevention suggestion.
6. The apparatus according to claim 5, wherein the acquiring module is configured to receive a to-be-processed palm print image sent by an external image capturing device, and the image capturing device acquires the to-be-processed palm print image by taking a picture or scanning.
7. The apparatus of claim 5, wherein the meter module is specifically configured to:
calculating a measurement base point according to the unique ratio of the fingers to the palm in the palm print image to be processed;
connecting the measurement base point with various lines in the palm print image to be processed to form a plurality of rays;
determining abnormal grains according to a preset grain judgment standard and a plurality of rays;
and determining the abnormal age according to the pre-marked age scale and the abnormal grain.
8. A health analysis apparatus based on palmprint extraction recognition, comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, and the processor is configured to invoke the program instructions to perform the method according to any one of claims 1 to 4.
9. A health analysis system based on palm print extraction recognition, comprising an intercommunicating image acquisition device and an analysis apparatus, characterized in that the analysis apparatus is as claimed in claim 8.
10. The system of claim 9, wherein the analysis device comprises a computer, an intelligent analyzer, or a mobile terminal loaded with a palm print extraction and identification program.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911100693.0A CN110974245A (en) | 2019-11-12 | 2019-11-12 | Health analysis method, device and system based on palm print extraction and recognition |
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| CN201911100693.0A CN110974245A (en) | 2019-11-12 | 2019-11-12 | Health analysis method, device and system based on palm print extraction and recognition |
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| CN (1) | CN110974245A (en) |
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2019
- 2019-11-12 CN CN201911100693.0A patent/CN110974245A/en active Pending
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Application publication date: 20200410 |