The Recommendation Using Colors and Pictures in Package Design by Integrated Ontology with K-mean Algorithm
The packaging design process requires knowledge and methods of thinking, good composition and advice from graphic experts which requires a lot of time and money. Therefore, doing this research to gather knowledge related to packaging design methods from books /textbooks, focus group from Experts and manufacturer. Develop meaningful knowledge base with ontology. Explore and create dataset from product packaging and from customer reviews. Develop the prototype software by dividing into 3 parts which are 1) detecting color and finding most color area in the product image using the OpenCV library on Python 2) identifying the suitable background color and 3) clustering and recommending color and image which decorate on the packaging using integrated ontology with K-mean algorithm. And test the efficiency of clustering and recommendation of colors and pictures in package design. The K-mean with k=2 gives accuracy in clustering 100% and the efficiency of linking the meaning of colors and images has a F-measure equal to 94.0%.