Image Pattern Verification Based On Seller's Batik Solo Product Name Using SURF As A Texture Based Image Retrieval

Sellers in online marketplace who use batik Solo’s pattern name as their product title, but mistaken it with product image that doesn’t contain the pattern, could causes the buyer to wear batik Solo in wrong event. Every pattern in batik Solo has crucial meaning and specialize to be worn in different event such as wedding ceremony or funeral. Therefore this research has the purpose to build a system that can verify batik Solo’s product image depending on the batik pattern name that the seller wants to use as their product title in online marketplace. First, the research input batik Solo pattern name in the four biggest online marketplaces in Indonesia, which are Tokopedia, Bukalapak, Shopee and Lazada. Second, it scrapped some of the images result from every marketplace. Then the research makes a system that can identify the image’s texture from marketplace and identify the image’s texture from the data set that was prepared before. This process could be completed using the SURF method. Next, an image from an online marketplace that contains a specific pattern will input to the system to find if it retrieves image from data set’s image with a similar intended pattern or not. The system verification will label an image as true if it can retrieve some images from data set, and label an image as false if it can’t retrieve image from data set. The output label from the system will be compared with the label from human judgement to measure the accuracy of the system. The results are, the highest accuracy is 74.76% and the highest recall is 94.55%.