Automatic shape recognition and feature extraction from images has become very significant in today’s digital word as the use of digital images has grown exponentially over the last few decades. Image processing is a method which uses computer algorithms to extract various useful information from the digital images. Image processing mainly involves visualization, pattern recognition, feature extraction, classification etc. Moment invariants have been used as features for image processing. Moments can provide features of an object that uniquely represent its shape. These features are independent of translation, scale and rotation. The aim of this paper was to investigate the usefulness of moment invariants for the feature extraction from digital images. Two experiments were conducted to test the moment invariant for rotation invariance and scale invariance. The study found that most of the seven features had minor fluctuations when rotating or scaling the image.

Moment Invariant, Image processing, Pattern recognition, Feature extraction

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