Feature extraction is an important step of pattern recognition. This study uses profile based feature extraction and uses Simple Profile (with cropping and without cropping image samples), Contour based feature extraction for recognizing handwritten numerals. The features are computed by using 48 X 48 as a feature length classifier used Back propagation neural network for the classification.. T...

Data sets collected from industrial processes may have both a particular type of trend and correlation among adjacent observations (autocorrelation). In the present paper, an integrated neural network structure is used to recognize trend stationary first order autoregressive (trend AR(1)) process. The proposed integrated structure operates as follows. (i) First a combined neural network structu...

This paper proposes the combination multiple facial feature extraction methods and probabilistic neural network for facial recognition. Firstly, we use horizontal projection of 2-D image to obtain accumulated energy profile signal. Secondly, we obtain the statistical distribution of facial gray images. Finally, we adopt wavelet transform to extract low frequency coefficients from 1-D energy pro...

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...

Thai intonation can be categorized as paralinguistic information of F0 contour of the utterance. There are three classes of intonation pattern in Thai, the Fall Class, the Rise Class, and the Convolution Class. This paper presents a method of intonation pattern recognition of Thai utterance. Two intonation feature contours, extracted from F0 contour, were proposed. The feature contours were con...

Classification requirements for real-world classification problems are often constrained by a given true positive or false positive rate to ensure that the classification error for the most important class is within a desired limit. For a sufficiently high true positive rate, this may result in the set-point being located somewhere in the flat portion of the ROC curve where the associated false...

two main forms of copd (chronic obstructive pulmonary disease) refer to a group of lung diseases that block airflow and cause a huge degree of human suffering. a new method for identifying and estimating the severity of copd from three-dimensional (3-d) pulmonary x-ray ct images would be helpful for evaluation of treatment effects and early diagnosing is presented in this paper. this method has...

Control chart pattern recognition (CCPR) is an important issue in statistical process control because unnatural control chart patterns (CCPs) exhibited on control charts can be associated with specific causes that adversely affect the manufacturing processes. In recent years, many machine learning techniques [e.g., artificial neural networks (ANNs) and support vector machines (SVMs)] have been ...

Speaker recognition can be considered as a subset of the more general area known as pattern recognition, which may be viewed basically in three stages as: feature selection and extraction, classification, and pattern matching. Extensive research in the past has been directed towards finding effective speech characteristics for speaker recognition. But, so far, no feature set is found to be know...