SUMMARY Infrasound monitoring plays an important role in the framework of surveillance Mt. Etna, Europe’s largest active volcano. Compared to seismic monitoring, which is particularly effective for buried sources, infrasound signals mirror activity shallow sources like Strombolian explosions or degassing. The interpretation difficult untrained eye, as we have account volcanic and non-volcanic s...

Face recognition is most difficult and complicated technique. Recognition of lateral faces very compare with normal face recognition. Pattern mostly used in this system to recognise the patterns (LFP). Neural network find can be done by After many researches becomes difficulty for various techniques based on their parameters. In paper, amalgamative recognition(ALFR) which merged machine learnin...

The prayer hall is the main space in mosques where and worship take place. It normally open with a large area Muslims can pray together. identification assignment of organizational forms to formally defined classes are referred as classification. term typo-morphology refers merging two ideas: typology, which focuses on syntactic spatial analysis, morphology, form analysis. This research aims cr...

On-line automated process analysis is an important area of research since it allows the interfacing of process control with computer integrated manufacturing (CIM) techniques. The inflexibility and high computational costs of traditional SPC pattern recognition methodologies have led researchers to investigate artificial neural network applications to control chart pattern recognition. This pap...

This special issue came to our mind to celebrate the 50th anniversary of the field of Artificial Intelligence (AI) (Casals and Fernández-Caballero, 2007; Fernández-Caballero et al., 2008), with the aim of showing the interdisciplinarity of the fields of Pattern Recognition (PR), Intelligence and Perception, being them artificial or natural. Pattern Recognition is a field with a strong relation ...

The best pattern recognizers in most instances are human, yet we do not understand how human recognize patterns. The pattern recognition is critical in the human decision task, the more relevant the pattern at your disposal, the better your decision will be. More recently, neural network techniques in pattern recognition have been receiving increasing attention. The design of a recognition syst...

Iris recognition is a proven, accurate means to identify people.An efficient method for personal identification based on the pattern of human iris is proposed in this paper. Crypto-biometrics is an emerging architecture where cryptography and biometrics are merged to achieve high level security systems. Iris recognition is a method for biometric authentication that uses pattern-recognition tech...

Pattern recognition encompasses two fundamental tasks: description and classification. Given an object to analyze, a pattern recognition system first generates a description of it (i.e., the pattern) and then classifies the object based on that description (i.e., the recognition). Two general approaches for implementing pattern recognition systems, statistical and structural, employ different t...