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The research project "Herbar Digital" was started in 2007 with the aim to digitize 3.5 million dried plants on paper sheets belonging to the Botanic Museum Berlin in Germany. Frequently the collector of the plant is unknown, so a procedure had to be developed in order to determine the writer of the handwriting on the sheet. In the present work the static character was transformed into a...
The methods developed in the research project ldquoHerbar Digitalrdquo are to help plant taxonomists to master the great amount of material of about 3.5 million dried plants on paper sheets belonging to the Botanic Museum Berlin in Germany. Frequently the collector of the plant is unknown. So a procedure had to be developed in order to determine the writer of the handwriting on the sheet. In the present...
According to the requirments of ??good?? skeletons, we present a skeletonization based on repairing the contours, especially for intersection regions. The motivation of this method is each of Chinese character is composed by some strokes, and the ??good?? skeletons can be extracted easily from these strokes using existing methods. Therefore, the contours on intersection regions can be reconstructed...
Image matching is a critical step during the process of object 3D reconstruction on the basis of studying image blending process, this essay, regarding the 2 pre-matching images as start and end images respectively of one object, employs total least warp work between the two images as the matching feature, and modifies the process of vertexs corresponding. This essay raises the matching algorithm...
A completely new and effective algorithm for Chinese character recognition is proposed in this paper. The recognition is based on character reconstruction. And then we can obtain a new normalized character. Through character reconstruction we can reduce the error brought by the blur and the tilt of the original image. We first obtain the structure information of the original character and then we...
We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
In order to detect features of protuberant characters, a novel stroke detection method based on Gabor filters is proposed. First, the gray images of protuberant characters were preprocessed using morphological algorithm. Next, a set of Gabor filters is used to break down an image of protuberant characters into four directional images, which contain the stroke information of four directions. Then,...
Road and traffic sign recognition has been of great interest for many years. This paper presents an approach to recognize Swedish road and traffic signs by using support vector machines. We focus on recognizing seven categories of traffic sign shapes and five categories of speed limit signs. Two kinds of features, binary image and Zernike moments, are used for representing the data to the SVM for...
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