An Efficient Camera Identification Technique using Krawtchouk Moment Invariants

Face recognition using Krawtchouk moment

Abstract. Feature extraction is one of the important tasks in face recognition. Moments are widely used feature extractor due to their superior discriminatory power and geometrical invariance. Moments generally capture the global features of the image. This paper proposes Krawtchouk moment for feature extraction in face recognition system, which has the ability to extract local features from an...

Image Retrieval by Using Non-subsampled Shearlet Transform and Krawtchouk Moment Invariants

In this paper, we use non-subsampled shearlet transform (NSST) and Krawtchouk Moment Invariants (KMI) to realize image retrieval based on texture and shape features. Shearlet is a new sparse representation tool of multidimensional function, which provides a simple and efficient mathematical framework. We decompose the images by NSST. The directional subband coefficients are modeled by Generaliz...

Signal Identification Using a New High Efficient Technique

Automatic signal type identification (ASTI) is an important topic for both the civilian and military domains. Most of the proposed identifiers can only recognize a few types of digital signal and usually need high levels of SNRs. This paper presents a new high efficient technique that includes a variety of digital signal types. In this technique, a combination of higher order moments and hi...

Image Recognition Based on Integration of Blur and Affine Invariants of Radial Krawtchouk Moment

According to the information redundancy of non-orthogonal moment invariants, and the discrete error of continuous orthogonal moments, in order to improve the recognition accuracy, a new image recognition method using radial Krawtchouk moment invariants proposed in this paper. The image blur and affine transformation mathematical model is built, then, using Krawtchouk polynomials which has bette...

Stereo Correspondence Using Moment Invariants