Within computational linguistics, the use of statistical pattern matching is generally restricted to speech processing. We have attempted to apply statistical techniques to discover a grammatical classification system from a Corpus of 'raw' English text. A discovery procedure is simpler for a simpler language model; we assume a first-order Markov model, which (surprisingly) is shown elsewhere t...

Within computational linguistics, the use of statistical pattern matching is generally restricted to speech processing. We have attempted to apply statistical techniques to discover a grammatical classification system from a Corpus of 'raw' English text. A discovery procedure is simpler for a simpler language model; we assume a first-order Markov model, which (surprisingly) is shown elsewhere t...

Many researchers adopt Local Binary Pattern for pattern analysis. However, the long histogram created by Local Binary Pattern is not suitable for large-scale facial database. This paper presents a simple facial pattern descriptor for facial expression recognition. Local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

biological diversity and species richness have been declined throughout the world as a result of human activities. measuring species richness is important in rangeland conservation to evaluate the status and trends of native plant species, detecting non-native species invasion and monitoring rare species. however, heterogeneity in plant distribution makes inventories difficult. in this study tw...

Pattern recognition is a data analysis method that uses machine learning algorithms to automatically recognize patterns and regularities in data. This can be anything from text images sounds or other definable qualities. supervised unsupervised classification. Among the various frameworks which pattern has been traditionally formulated, statistical approach structural new most intensively studi...

With the development of artificial intelligence and machine vision, face recognition has become a hot topic of pattern recognition.This paper describes the review-based comparison and recognition of challenges using holistic and hybrid appearance based approaches and the recent techniques used for improving recognition accuracy. The accuracy or efficiency of the techniques depends on the situat...

Iris recognition has been done by many researchers in last decade. Iris recognition plays an important role to improve efficiency in biometric identification due to its reliability in highly secured areas. Such as In Airports And Harbors, Access Control In Laboratories And Factories traditional issue is focused on full fingerprint images matching and face detection are used for identification o...

Recognition of variously deformed character patterns is a salient subject for off-line hand-printed character recognition. Sufficient recognition performance for practical use has not been achieved despite reports of many recognition techniques. Our research examines effective recognition techniques for deformed characters, extending conventional recognition techniques using an on-line characte...

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Biometrics is a growing technology, which has been widely used in forensics, secured access and prison security. A biometric system is fundamentally a pattern recognition system that recognizes a person by determining the authentication by using his different biological features i.e. Fingerprint, retina-scan, iris scan, hand geometry, and face recognition are leading physiological biometrics an...