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ECG signal is a periodic signal that gives information about the heart activity. A lot of information about normal and abnormality about the heart can be obtained from the ECG signal. Premature ventricular contractions (PVCs) are the ectopic beats that occur from the ventricular area of the heart. It is a most common heart arrhythmia that found on a human being. Detection of Premature Ventricular Contraction (PVCs) beat from the Electrocardiogram (ECG) is the most important thing in the field of biomedical.

Handwritten character recognition is an area of pattern recognition which defines an ability of a machine to analyze a pattern and identify the character. Pattern recognition is the science of making inferencas from perpatule data based on either priore knowledge or on statistical information. This paper focouses on development of software algorithm to recognize any hand written character efficiently on computer with input is either an old optical image or currently provided through touch input, mouse or pen.

Abstract:Handwritten character recognition has been one of the active and challenging areas of research in the field of image processing and pattern recognition. It has number of applications which include, reading aid for blind, and conversion of any hand written document into structural text form. In this paper we present a brief survey of various methods which recognizes of English alphabet in a given scanned text document. The first step is image acquisition which acquires the scanned image followed by noise filtering, smoothing and normalization of scanned image, rendering image suitable for segmentation where image is decomposed into sub images. Feature Extraction improves recognition rate and misclassification. We have to surveyed and compared various methods in this paper.