Trích xuất ảnh trademark dựa trên các đặc trưng bất biến dịch chuyển, quay, tỷ lệ (Trademark Image Retrieval Based on Scale, Rotation, Translation Invariant Features) : M.A Thesis Information Technology : 60 48 01

• Main Author: Nguyễn, Tiến Dũng
• Other Authors: Lê, Thanh Hà
• Format: Theses and Dissertations
• Language: English
• Published: ĐHCN 2017
• Subjects: Công nghệ thông tin; Trích xuất ảnh trademark
• Online Access: http://repository.vnu.edu.vn/handle/VNU_123/43271
• Institution: Vietnam National University, Hanoi

Trademark registration offices or authorities have been bombarded with requests from enterprises. These authorities face a great deal of difficulty in protecting enterprises’ rights such as copyright, license, or uniqueness of logo or trademark since they have only conventional clustering. Urgent and essential need for sufficient automatic trademark image retrieval system, therefore, is entirely worth thorough research. In this thesis, a novel trademark image retrieval method is proposed in which the input trademark image is first separated into dominant visual shape images then a feature vector for each shape image which is scale, rotation, and translation invariant is created. Finally, a similarity measure between two trademark is calculated based on these feature vectors. Given aquery trademark image, retrieval procedure is carried out by taking the most five similar trademark images in a predefined trademark. Various experiments are conducted to mimic the many types of trademark copying actions and the experimental results exhibit the robustness of our retrieval method under these trademark copy actions.