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Essay On Face Identification System

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A FACE IDENTIFICATION AND MATCHING SYSTEM
The human face plays a vital role in our public dealings, conveying peoples identity. Face recognition assists the crime preventive purpose because face images that have been recorded and documented can later benefit identifying a person. Face identification system is used in law enforcement to assist in identifying suspects involved in a crime. The proposed uses the ordered pair convention to denote matching scenarios. By using two main algorithms: holistic based and component based. And the system consist of mainly four components 1) Eye detection and alignment , 2) Use of feature descriptors , 3) Genetic algorithm , 4) Sum of score fusion.

Holistic based algorithm
In holistic based algorithms faces are compared by considering the whole face simultaneously. Strength of the holistic algorithm is that it characterizes both facial composites and mugshots with local descriptor based features. The working of holistic algorithm pipeline is given in fig. 1. First the alignment and center-surround divisive normalization is done. SIFT and …show more content…

Eyes, nose,eyebrows, lips, cheeks are some of the components. In the component based algorithm, facial components are robotically limited by detecting landmarks with an active shape model (ASM) via the STASM. The component based algorithm pipeline works like following, after the standardization STASM is used to detect 77 facial landmarks. For each of the 6 components used, procrustes alignment is used to ensure maximum alignment of landmarks. MLBP features are mined from patches inside the facial component. Optimal subspaces are learned for each patch and the projected features are concatenated and normalized. Genetic algorithm is applied to each patches. L2 matching scores are generated for each of the particular components. The overall (facial composite, mugshot) matching score is the sum of the individual component

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