BibTeX:

@article{IJIRSTV3I4138,
     title={Object Annotation using Fuzzy Object Shape Retrieval},
     author={Rotney Roy Meckamalil},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={4},
     pages={303--309},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I4138.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In the world of object recognition, much effort has to be put to predict the particular object correctly by using the classifiers. There are only fewer amounts of trained data. Thereby the recognition part will be not accurately predicted. In the proposed system, a new technique has been introduced to recognize and annotate the object based on the Fuzzy-Object-Shape. The database contains different of set of images (apple, orange, ball etc.), each one have plenty of images. A good annotation system is by obtaining the correctly predicted the class labels when the particular image is being selected. The shapes like circle, ellipse, square, rhombus, rectangle, cone, and cylinder are being used to extract the features from the entire images in the database. The process is implemented in a MATLAB 2014.

Object annotation, fuzzy membership function, object recognition