Preprint Article Version 1 This version is not peer-reviewed

Target Identification Using Moment Invariant Approach

Version 1 : Received: 17 May 2018 / Approved: 17 May 2018 / Online: 17 May 2018 (13:15:08 CEST)

How to cite: Al-Ani, M.S.; Darwesh, A. Target Identification Using Moment Invariant Approach. Preprints 2018, 2018050251 (doi: 10.20944/preprints201805.0251.v1). Al-Ani, M.S.; Darwesh, A. Target Identification Using Moment Invariant Approach. Preprints 2018, 2018050251 (doi: 10.20944/preprints201805.0251.v1).

Abstract

Target identification process leads to identify a specific object or target. There is huge amount of objects at the nature, and some of these objects have similar characteristics but others are different. The main aim of this work is to design an efficient approach for object or target identification. The implemented approach tries to overcome the challenges that appear during the processing. This approach is implemented via many steps; preprocessing, feature extraction, invariant features, classes calculation then comparison the obtained results to decide the nearest distance of the specific object with the existing image database. The obtained results indicated that high performance of identification is achieved via the application of this approach. Three oriented images are tested 0-degree, 90-degree and 180-degree, in all these images, the obtained similarity is about 99%.

Subject Areas

object identification; object recognition; moments; feature vectors; digital image processing

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