Abstract: This research introduces an innovative system for designing traditional embroidery patterns utilizing a computer-based linear classifier intelligent algorithm. The system achieves efficient classification and recognition of embroidery pattern features by employing the Fisher linear discriminant analysis technique, thus enabling the intelligent and innovative creation of designs. Additionally, the system encompasses the design of classification algorithms for embroidery patterns and incorporates interactive tools along with embroidery systems, offering designers a user-friendly platform for pattern creation. In the system design, Fisher linear discriminant analysis algorithm is used to classify the feature vectors of embroidery patterns to ensure that the features of each type of pattern are accurately extracted and identified. The model simulation verifies the algorithm's effectiveness through multiple iterations, and the results show that the system has significantly improved the classification accuracy of embroidery patterns and the efficiency of innovative design. Accurate data analysis shows that the classification accuracy of the system in different types of embroidery patterns reaches more than 95%, and user satisfaction is improved by 20%.

Xiao Bai, “The Innovative Design System of Traditional Embroidery Patterns Based on Computer Linear Classifier Intelligent Algorithm Model” International Journal of Advanced Computer Science and Applications(IJACSA), 16(5), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160571

@article{Bai2025,
title = {The Innovative Design System of Traditional Embroidery Patterns Based on Computer Linear Classifier Intelligent Algorithm Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160571},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160571},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {5},
author = {Xiao Bai}
}