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The importance of sustainability concept, especially in the context of seaports, has increased significantly in recent years as documented by the media interest and the number of published papers both from the general public and special interest groups like academics and corporate organizations. The goal of this paper is twofold. First, it offers a literature review on sustainability of container...
Printed document examination plays an important role in public security. A printer identification system is designed for the purpose of identifying the printer which created a suspect printed document. It consists of image acquisition, image preprocessing and character matching. An optical instrument is developed for document image observation and acquisition under high resolution. Normalized printed...
When textural features are applied to handwriting identification, the accuracy is not high due to the fact that the textural features fluctuate randomly because of the different contents and positions of the characters. In this paper an approach for the construction of texture images is presented. The features of the texture images are calculated and the mathematical expectations of them are estimated...
Two dimensional principal component analysis (2DPCA) extracts the global feature of human face, but the local feature is very important to face recognition. In this paper, adaptively weighted 2DPCA based on local feature is proposed. It combines above approaches through separating original images into multi-blocks. Firstly, the face image is separated into three independent sub-blocks according to...
Through the traffic congestion detecting and analyzing, this paper puts forward the framework and primary functions of the traffic congestion information promulgating system (TCIPS) based on geographic information systems (GIS) and develops the system by using VB6.0 and MapX5.0. TCIPS can intuitively and visualization provides real-time traffic congestion information for traffic managers and users,...
In this paper, a novel method to accelerate off-line Chinese writer identification by combining multi text-sensitive features and combining multi character level decisions is practiced. The used text-sensitive writer identification algorithm extracts Directional histogram feature, Moment feature and Wigner feature, reduces the dimensions using PCA and LDA, and adopts the simple Euclidean classifier...
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