BAYLIS HARDING FUZZY

Brand Owner Address Description
BAYLIS & HARDING THE FUZZY DUCK Baylis & Harding Plc Nash Road Park Farm Redditch, Worcs B987AS BAYLIS AND HARDING THE FUZZY DUCK;Cleaning and room fragrancing preparations; fragrances for personal use; non-medicated soaps; non-medicated toilet articles, namely, hand cleaning preparations, hand washes, hand soaps; toiletries; perfumery, perfumes; essential oils and perfumed extracts for tissues and perfumes; cosmetics; make-up preparations; non-medicated toilet preparations; non-mediated skin care preparations; shampoos and hair care preparations; personal hygiene and beauty care products, namely, hand creams, shower preparations, body washes, hand washes, hand cleaning preparations, shower gels, shampoos, conditioners, aftershaves, body moisturisers, hand lotions, body lotions, hand balms, body balms, body butters, bath preparations, hand moisturisers; non-medicated body care preparations; non-medicated preparations for the care of the scalp; beard care preparations; beard shampoos; beard lotions, balms and oils; creams, milks, lotions, gels and powders for the skin, the face, the body and the hands; anti-perspirants; deodorants for personal use; air deodorants; dentifrices; aftershaves; shaving preparations; eau de toilette; eau de cologne; talcum powder; bath and shower oils and gels; non-medicated bath salts; bubble bath; bath milk; hand wash; hand cleaning gels; hand oils; incense; room fragrances; air fragrance reed diffusers consisting of scented oils, reeds, and container; aromatic oils; scented oils; essential oils for aromatherapy use; air fragrance reed diffusers;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. In one embodiment, the present invention includes a method to obtain a query image and search a database corresponding to object images for a solution set having a maximum similarity to the query image using fuzzy logic. Also in certain embodiments, based on fuzzy logic, the database may be partitioned into multiple sets based on a fuzzy similarity analysis of a measure of the object images to various thresholds.