Pattern recognition studies

In nowadays, pattern recognition is the research area that studies the operation and design of systems that recognize patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection. the analysis of security it prove that the recognition technologies is the most useful technology to improve the security. it will identify the voice and image using this technique and it will try to match the correct answer when it detect the frequency of the voice and it will also can make a big help for companie and persons. Because it trying to stop health care fraud say they have a new weapon: computer programs that can flag potential fraud even before medical claims are paid. and in the other way companies can save far more money by stopping claims before they are paid than trying to get fraudsters to pay back money.

Technique in Robot

Honda, for example, has for a decade been developing humanoid robots leading up to the present (aptly-named) Asimo. Asimo is the size of a human 10-year-old, and its body mass index (mass divided by square of height) is only slightly above that of a healthy human. There are, of course, other robot development programmes (humanoid and otherwise), but they are for the most part military or similar in emphasis; for scientific work, Asimo’s interest is in its civilian approach and also in the direction of its perceptual development – it will, among other things, respond intelligently to human gesture, posture and movement. I don’t seriously suggest that Asimo is yet the manifestation of Asimov’s dream, nor does it really matter whether this is the way forward: what matters is that it demonstrates the feasibility of onboard perceptual intelligence based on sophisticated algorithmic pattern recognition. In limited ways, Asimo responds to the external world as a human of two to five years might; in some other ways, it demonstrates how such responses might be managed in ways not analogous to the human.

Recognising the future

Pattern recognition technologies are of central importance to this. Just as a biological entity acts not on the raw data received from eyes, but on the analyses and hypotheses derived from it, the data from telescopes, microscopes, endoscopes, and every other sort of artificial eye, will be mediated through pattern recognition algorithms designed to make it machine usable.

The essence of pattern recognition is a simple one. Take a collection of examples from a known object; identify the features that appear to be constant in different instances of that object; use those features to identify, at a pragmatically acceptable level of statistical error, other instances of the same object. In some cases, the detection of the pattern itself is the object of the exercise (for example, when monitoring modulations of the hydrogen line in the search for extraterrestrial intelligence) but, even then, if achieved, it will inevitably be applied to subsequent identification of other cases. In this case I’m concerned with those technological applications of pattern recognition that seek to mimic the human senses, with a particular emphasis on visual identification.

http://www.scientific-computing.com/features/feature.php?feature_id=3