This paper describes a comparative analysis of recognition accuracy using feature extraction algorithm. A feature extraction algorithm is introduced for face recognition, Principle Component Analysis (PCA),Linear Discriminant Analysis(LDA) , Independent Component Analysis(ICA) and Nonnegative matrix factorization (NMF) based on curvelet transform. Mostly recognition system is capable to perform...

Article history: Received 29 April 2009 Revised 21 December 2009 Accepted 26 December 2009 Available online 6 January 2010 Communicated by Ginette Saracco

Abstract— This paper presents a new offline handwritten Devanagari word recognition system. Though Devanagari is the script for Hindi, which is the official language of India, its character and word recognition pose great challenges due to large variety of symbols and their proximity in appearance. In order to extract features which can distinguish similar appearing words, we employ Curvelet Tr...

Today’s revolution is mobile communication revolution, which enables us to connect each other worldwide. Due to the enhancement of multimedia and video surveillance services people are more sophisticated. Because of bandwidth requirements and resolution mismatch the designers still striving to provide robust coding technique. In mobile, web applications scalable video coding plays a vital role ...

0167-8655/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.patrec.2009.10.018 * Corresponding author. Address: School of Aero Beijing 100084, China. Tel.: +86 10 62781824. E-mail address: [email protected] (J. Ma). Curvelet transform is a multiscale and multidirectional geometric wavelet transform, which is an optimal sparse representation of edges and contours of objects. In this paper,...

Malayalam, the official language of Kerala, a southern state of India has been accorded the honour of language of eminence. Hence the researches in recognition and related works in Malayalam language is gaining more prominence in the current scenario. This paper proposes the use of Curvelet transform and neural network for the recognition of handwritten Malayalam character. Curvelet transform i...

A special member of the emerging family of multiscale geometric transforms is the curvelet transform which was developed in the last few years in an attempt to overcome inherent limitations of traditional multistage representations such as wavelets. Mathematical is a set and lattice theoretic methodology for image analysis, which aims at quantitatively describing the geometrical structure of im...

Throughout the world the common cause of death in humans is lung cancer. It is necessary to detect cancer as early as possible to increase the survival rate. Lung cancer in CT scan images can be classified easily and efficiently using digital image processing techniques. Curvelet transform can extract the features of lung cancer CT scan images proficiently. All extracted feature by curvelet tra...