Digital Image Processing : A Multi Dimensional Visual Model And Processing A Process Model For Face Recognition

1497 Words May 15th, 2015 6 Pages
ABSTRACT:
Face is a analyzable multi-dimensional visual model and processing a process model for face recognition is challenging. This paper presents a methodological analysis for face identification based on content explanation formulation of coding and decoding the face image. categorization using the Euclidian distance. The content is to use the system for a particular face and separate from a large number of stored faces with some real time variations as well. The Eigen face attack uses particular faces with some real time variation. The Eigen face formulation uses principal components analysis (PCA) algorithm for the acceptance of the images. It gives us prompt way to insight the lower dimensional space.
Digital Image processing: Image processing consists of mathematical and technique tools to process the input image. It is processed when the date is extracted from that. An image usually goes through some steps, in order to get better extractable of absorbing data and subside other data. It has a wide range of applications, such as it is used in business, military, medicine and automation. Image processing has a large range of techniques that includes coding, filtering, enhancement and analysis. There are two types of formulations to image processing:
1) Analog processing and
2) Digital processing

Analog processing: This formulation is very fast because the time involved for converting analog to digital and digital to analog is saved. But this is not flexible so…
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