In order to identify a person based on some physiological attributes or behavioral characteristics various biometrics have been introduced so far which includes face, retina, fingerprints etc. But research has revealed that the human ear also possesses some unique features which can be used as a biometric for recognition of humans. This paper uses the ear as a biometric to identify human while comparing the performance analysis of dimensionality reduction techniques PCA and LDA with various classification techniques.

Conversion of text-to-text, to generate summary has been a key research area now a days. Automatic text summarization reduces human effort in generating summary from text document(s) with the help of computer program. Various approaches, methods and systems have been suggested and developed so far till date. This survey focuses on some of the existing techniques of statistical document summarization as well as summarization using semantic approaches to deal with the improvements that can be done for Extractive Text Summarization.I.