Automatic Eigen Face Method
Jerrin Thomas Panachakel
Jerrin Thomas Panachakel, Telecom & Broadcast Systems Bharat Electronics Limited, Banglore (Karnataka), India.
Manuscript received on 15 February 2017 | Revised Manuscript received on 22 February 2017 | Manuscript Published on 28 February 2017 | PP: 128-130 | Volume-6 Issue-3, February 2017 | Retrieval Number: C4853026317/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Muzzle print recognition is the process of finding any muzzle in the image. It is a two-dimension procedure used for detecting muzzles and analyzing the information contained in the muzzle image. Here the muzzle images are projected to a feature space or face space to encode the variation between the known muzzle images. In this paper Principal Component Analysis (PCA) is used for dimension reduction and the projected feature space is formed using fuzzy algorithm. The above method can be used to recognize a new muzzle in unsupervised manner
Keywords: Muzzle Print, Principal Component Analysis (PCA), Membership Function.
Scope of the Article: Structural Reliability Analysis