Inscription Image Retrieval Using Bag of Visual Words

International Conference on Materials, Alloys and Experimental Mechanics 2017

材料科学;金属学;机械制造

Jayanthi, N.^1 ; Indu, S.^1

ECE Department, Delhi Technological University, Delhi

110042, India^1

关键词: Bag-of-visual words;    BoVW;    Inscriptions;    Large database;    Retrieval process;    Speeded up robust features;    SURF;    Visual vocabularies;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/225/1/012211/pdf
DOI  :  10.1088/1757-899X/225/1/012211

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

This paper presents a technique for efficient and veracious retrieval of ancient inscriptions and manuscripts from a large database of images by using the Bag of Visual Words (BoVW) technique. The proposed method can be used to recognize inscription images across the world. SURF (speeded up robust features) is used as an image feature extractor. A visual vocabulary is created by representing the image as a histogram of visual words which helps in the retrieval process. Usage of SURF ensures scalability, faster processing better results with darkened and blurred images. We demonstrate the method on a combination of 300 inscriptions images comprising of several inscription around the world.