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Method for extracting morphologic characteristic of human body bare footprint feature

A technology of morphological features and extraction methods, applied in the fields of medical science, human identification, instruments, etc., can solve problems such as vague description of expert experience in labeling and positioning, footprint recognition, manual or semi-manual inspection, etc., and achieve accurate and effective analysis methods. and methods, reducing errors, and the effect of detailed data

Inactive Publication Date: 2008-12-24
TIANJIN UNIV
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Problems solved by technology

Since the experience description of the marking and positioning of footprint feature points is relatively vague, and the identification and inspection of footprints are currently carried out manually or semi-manually, it is necessary to study automatic and reliable morphological analysis techniques to obtain accurate and stable feature parameter values. Footprint Analysis, Certification

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  • Method for extracting morphologic characteristic of human body bare footprint feature
  • Method for extracting morphologic characteristic of human body bare footprint feature
  • Method for extracting morphologic characteristic of human body bare footprint feature

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Embodiment Construction

[0030] The present invention provides a measurement set model for automatically extracting digital shape features of human bare footprints based on computational geometry. Computational geometry is a branch of computer science that studies algorithms for solving geometric problems. Its input is generally about a group of geometric objects A description of , such as a set of points, a set of line segments, or the counterclockwise arrangement of vertices of a polygon. Outputs are often answers to questions about these objects, such as whether lines intersect, whether it is possible to generate a new geometric object, the convex hull of a set of vertices, etc. The present invention replaces manual identification with automatic morphological analysis technology, obtains the target barefoot image through a scanner, and inputs it into a computer for preprocessing, including dual threshold segmentation and binarization processing based on the combination of the bimodal method and the ...

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Abstract

The present invention relates to the analytic technology of footprint automatic morphology, in particular to an extraction method of human body bare footprint morphology characteristics. The present invention reduces the number of errors caused by experience extent and subjective mistakes in the artificial analysis to the greater extent, provides a rapid, accurate and effective analyzing mean and method for the analysis and examination of footprint image and ensures the footprint analysis and examination is quantitative, automatic and intellectualized. The technical proposal of the present invention obtains the barefoot image of the target through a scanner and then inputs into the computer for pretreatment including double threshold values segmentation based on the combination of two-peak method and great law, binary processing, morphological filter wave, edge smoothing, etc.; afterwards, the profile tracking extraction and the footprint characteristic value calculation are automatically carried out for the footprint image under the preset coordinate system. The present invention is mainly applied in the field of security and criminal investigation, disease recovery estimation and sports science.

Description

technical field [0001] The invention relates to an automatic morphological analysis technology of footprints, in particular to a method for extracting morphological features of human bare footprints. Background technique [0002] With the vigorous development of information technology, the identification and measurement of human biological characteristics is a research hotspot in the field of information technology. Compared with other biological characteristics of the human body, since the footprint trace information comes from the overall behavior of the human body, and it has been proved through practice that there is a specific relationship with the biological characteristics of the human body such as gender, age, height, body posture, walking habits and some pathological information, And it shows a certain regularity, and its various characteristics can reflect the unique and long-term stable physiological and behavioral characteristics of the human body, and have been ...

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Application Information

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IPC IPC(8): A61B5/117G06K9/20A61B5/11
Inventor 明东辜承慰南文雅万柏坤
Owner TIANJIN UNIV
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