Voice recognition is an important and active research area of the recent years. This research aims to build a system for voice recognition using dynamic time wrapping algorithm, by comparing the voice signal of the speaker with pre-stored voice signals in the database, and extracting the main features of the speaker voice signal using Mel-frequency cepstral coefficients, which is one of the most important factors in achieving high recognition accuracy. General TermsDynamic time wrapping "DTW" algorithm, Mel-frequency Cepstral Coefficients "MFCC" algorithm, vocal signal.

No abstract

No abstract

Abstract-The facial expression recognition is an ocular task that can be performed without human discomfort, is really a speedily growing on the computer research field. There are many applications and programs uses facial expression to evaluate human character, judgment, feelings, and viewpoint The process of rrecognizing facial expression is a hard task due to the several circumstances such as facial occlusions, face shape, illumination, face colors, and etc. This paper present a PCA methodology to distinguish expressions of faces under different circumstances and identifying it. Relies on Eigen faces technique using standard Data base images. So as to overcome the problem of difficulty to computers to identify the features and expressions of persons.

Abstract:The process of handwriting recognition and text is an important field which have a large role in many applications, including the identification of manually written digits on checks and documents, also the recognition of the postal addresses using the technology of Optical Character Recognition (OCR), and etc. The aim of this paper is to using the linear correlation algorithms in two dimensions for the purpose of Arabic numerals (Indian) recognition (0-1-2-3-4-5-6-7-8-9). So as to overcome the problems of documents that stored in the form of image. And searching or editing it, In order to recognize the Arabic digits on them.