A Handwritten Font Recognition System Based on Distance Optimal Dimensionality Reduction

Abstract

The invention belongs to the technical field of image processing and recognition, and in particular relates to a handwritten font recognition system based on distance optimization and dimensionality reduction, including a handwritten font library, a handwritten font recognition platform, and a handwritten font output module. The method includes a first step, a second step, a third step, a fourth step, a fifth step, and a sixth step. The present invention solves the problem that data mining and processing means are often effective for low-dimensional data, and high-dimensional data often contains a large amount of redundancy. Residual information, variables that have little influence on the results, and variables that are highly correlated with other variables reduce the efficiency of the algorithm and the accuracy of data processing and analysis. It is beneficial to the calculation of distances and ensures rotation, scaling, and translation. The invariance of the method can effectively process handwritten font images, remove irrelevant variables, and highlight the beneficial technical effects of several hidden variables.

Description

technical field [0001] The invention belongs to the technical field of image processing and recognition, in particular to a handwritten font recognition system based on distance optimization and dimensionality reduction. Background technique [0002] Data dimensionality reduction is an effective solution to high-dimensional data processing problems. In the process of actual data collection, an observation object often needs to be represented by multiple variables, and this information is abstracted to become high-dimensional data, such as high-dimensional data corresponding to images such as portraits, poses, and fonts in image processing. Existing data mining and processing methods are often effective for low-dimensional data. High-dimensional data often contain a large amount of redundant information, such as variables that have little impact on the results and variables that are highly correlated with other variables, which reduces the efficiency of the algorithm. And th...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a handwritten font recognition system based on distance optimization and dimensionality reduction to solve the above-mentioned background technology that data mining and processing methods are often effective for low-dimensional data, and high-dimensional data often contains a large amount of redundant information, which affects the results. Smaller variables and variables with strong correlation with other variables reduce the efficiency of the algorithm and the accuracy of data processing and analysis

Images