In this paper a system for handwritten text localization in document images is proposed. Our system performs skew angle correction using Wigner-Ville distribution and localizes the handwritten areas of the document based on several measures concerning regularity in shape (selfcorrelation, horizontal and vertical symmetry) and in dimensions (aspect ratio, distribution of heights and widths). The...

Huge amounts of legacy documents are being published by on-line digital libraries world wide. However, for these raw digital images to be really useful, they need to be transcribed into a textual electronic format that would allow unrestricted indexing, browsing and querying. In some cases, adequate transcriptions of the handwritten text images are already available. In this work three systems ...

In this communication, we propose a method for the automatic extraction of numerical fields in handwritten documents. The approach exploits the known syntactic structure of the numerical field to extract, combined with a set of contextual morphological features to find the best label to each connected component. Applying an HMM based syntactic analyzer on the overall document allows to localize...

In this communication, we propose a method for the automatic extraction of numerical fields in handwritten documents. The approach exploits the known syntactic structure of the numerical field to extract, combined with a set of contextual morphological features to find the best label of each connected component. Applying an HMM based syntactic analyzer on the overall document allows to localize...

Article history: Received 13 January 2012 Received in revised form 22 April 2013 Accepted 22 April 2013 Available online xxxx In Iran like many other countries, the categorization of postal envelopes is executed manually, mostly based on the handwritten addresses and zip codes. That process is still slow and prone to man-made errors. Therefore, having an automated, accurate and efficient system...

In this chapter, we propose two novel and curvature-free features: run-lengths of Local Binary Pattern (LBPruns) and Cloud Of Line Distribution (COLD) features for writer identification. The LBPruns is the joint distribution of the traditional run-length and local binary pattern (LBP) methods, which computes the run-lengths of local binary patterns on both binarized images and gray scale images...

In this chapter, we propose two novel and curvature-free features: run-lengths of Local Binary Pattern (LBPruns) and Cloud Of Line Distribution (COLD) features for writer identification. The LBPruns is the joint distribution of the traditional run-length and local binary pattern (LBP) methods, which computes the run-lengths of local binary patterns on both binarized images and gray scale images...

A skew estimation algorithm for printed and handwritten documents, based on the document’s horizontal projection profile and its Wigner–Ville distribution, is presented. The proposed algorithm is able to correct skew angles that range between 289 and þ898 detecting the right oriented position of the page by the alternations of the horizontal projection profile. It is able of processing successf...

In this chapter, we propose two novel and curvature-free features: run-lengths of Local Binary Pattern (LBPruns) and Cloud Of Line Distribution (COLD) features for writer identification. The LBPruns is the joint distribution of the traditional run-length and local binary pattern (LBP) methods, which computes the run-lengths of local binary patterns on both binarized images and gray scale images...

Skew angle estimation and correction of a document page is an important task for document analysis and optical character recognition (OCR) applications. Many approaches of skew detection can process pure textual document images successfully. But it is a challenging problem to process documents like handwritten, large areas of non-textual contents. In this direction, a novel approach for textual...