Footprint pressure distribution characteristic representation method

Abstract

The invention discloses a footprint pressure distribution characteristic representation method which comprises the steps of (S1) using a footprint sampling instrument to collect footprint pressure image information, and preprocessing a footprint pressure image, (S2) extracting footprint front foot and back foot pressure distribution characteristics and constructing a footprint pressure distribution characteristic map, (S3) projecting front foot and back foot pressure distribution characteristic maps along direction, finding a direction with a maximum projection value (pressure value) as a main direction, and carrying out pressure distribution characteristic map main direction standardization, and (S4) carrying out characteristic selection on the obtained footprint pressure distribution characteristics. According to the method, the extracted footprint pressure distribution characteristics can represent the distribution characteristics of foot pressure when a human body is walking, the distribution between a footprint of barefoot and a footprint with socks is not needed, and the applicability is wide.

Description

Technical field [0001] The invention relates to the technical field of image processing and biometric recognition, and in particular to a method for expressing the pressure distribution characteristics of footprints. Background technique [0002] At present, the feature representation of footprints is mainly divided into three categories: geometric features, pressure features and texture features. The geometric feature is to establish a unified footprint image coordinate system and perform geometric measurement to measure foot length, palm width, heel width, and from the heel to the edge of each toe, and from the heel center to the center of each toe. Footprint pressure morphological characteristics mainly include the interaction force information between the sole and the ground and the distribution information of the sole pressure. The main methods are: 1) Use plantar pressure distribution information to construct the average, maximum, and minimum pressure time curve of the pla...

AI Technical Summary

Problems solved by technology

Footprint features are usually represented by foot shape features, such as foot length, foot width, and heel width, which are difficult to extract accurately

Due to the long-term use of the acquisition equipment, the footprint pressure image is easily affected by fixed noise such as dust and random noise. It is difficult to reduce the noise level of the pressure image while retaining the information carried by the pressure image to the maximum extent.

Footprint images carry a lot of information, and there are high-dimensional and small samples, which makes it difficult to achieve accurate and efficient identification in the whole process