In a number of types of documents, ranging from forms to archive documents and books with annotations, machine printed and handwritten text may be present in the same document image, giving rise to significant issues ...
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In a number of types of documents, ranging from forms to archive documents and books with annotations, machine printed and handwritten text may be present in the same document image, giving rise to significant issues within a digitisation and recognition pipeline. It is therefore necessary to separate the two types of text before applying different recognition methodologies to each. In this paper, a new approach is proposed which strives towards identifying and separating handwritten from machine printed text using the Bag of Visual Words paradigm (BoVW). Initially, blocks of interest are detected in the document image. For each block, a descriptor is calculated based on the BoVW. The final characterization of the blocks as Handwritten, Machine Printed or Noise is made by a Support Vector Machine classifier. The promising performance of the proposed approach is shown by using a consistent evaluation methodology which couples meaningful measures along with a new dataset.
A cylindrical image mosaic method based on Harris corner feature is proposed in the paper. Firstly, the sequence of photographs taken around 360 degree is projected to cylinder coordinate system, and then the Harris c...
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A magnetic sensor based on giant magnetoimpedance effect (GMI) was developed. The basic element of the sensor is a Fe-based nanocrystalline ribbon of composition Fe73.5Cu1Nb3Si13.5B9. A sensitivity of 0.6691 V/Oe for ...
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The safety operation of steel cable is vital and the cable should be maintained through regular inspection. Magnetic flux leakage (MFL) method is a popular inspection technique. For the online nondestructive testing (...
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In the particle images, objects tend to touch, overlap with each other to form clusters. How to separate these clusters into single objects is a vital problem for the counting, feature extraction and analysis in the f...
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With the explosion of protein sequences generated in the Post-Genomic Age, it is urgent to develop an automated method to predict protein quaternary structure. To explore this problem, we adopted an approach based on ...
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In this paper, we establish a correspondence between the incremental algorithm for computing AT-models [8,9] and the one for computing persistent homology [6,14,15]. We also present a decremental algorithm for computi...
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The objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. This problem is challenging due to the large variations of these components features (size, shape,...
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Coherence-enhancing diffusion (CED), based on analysis of oriented structures, has been extensively used in image processing. This diffusion filtering can keep some junctions and close broken linear structures, but it...
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In this paper, we propose a method for robot self-position identification by active sound localization. This method can be used for autonomous security robots working in room environments. A system using an AIBO robot...
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