In this paper, we face the problem of offline handwritten text recognition (HTR) in historical documents when few labeled samples are available and some them contain errors train set. Three main contributions developed. First analyze how to perform transfer learning (TL) from a massive database smaller database, analyzing which layers model need fine-tuning process. Second, methods efficiently ...

Libraries and other institutions are interested in providing access to scanned versions of their large collections of handwritten historical manuscripts on electronic media. Convenient access to a collection requires an index, which is manually created at great labour and expense. Since current handwriting recognizers do not perform well on historical documents, a technique called word spotting...

In this paper, we give an overview on approaches for the graphic extraction, and especially for the image extraction from printed documents. We present also our contribution to this area operating on historical Arab periodicals. The developed method works on monochrome documents and is based on the Gabor filter exploration followed by many post-processing steps. It allows firstly the text/graph...

1. INTRODUCTION. In this paper I shall discuss Plimpton 322, one of the world's most famous ancient mathematical artefacts [Figure 1]. But I also want to explore the ways in which studying ancient mathematics is, or should be, different from researching modern mathematics. One of the most cited analyses of Plimpton 322, published some twenty years ago, was called "Sherlock Holmes in Babylon" [4...

Image mosaicing is a trendy research area in computer vision in recent years. Instead of images, video frames can be mosaiced to form a larger aggregate. In both cases, merging computations generally depend on the common parts in consecutive images, which are called overlapping regions. The presence of mobile devices with a camera provides higher image and video acquisition; hence video mosaici...

This paper proposes a novel algorithm to clean up a large collection of historical handwritten documents kept in the National Archives of Singapore. Due to the seepage of ink over long period of storage, the front page of each document has been severely marred by the reverse side writing. Earlier attempts have been made to match both sides of a page to identify the offending strokes originating...

Historical document collections are a valuable resource for human history. This paper proposes a novel digital image binarization scheme for low quality historical documents allowing further content exploitation in an efficient way. The proposed scheme consists of five distinct steps: a pre-processing procedure using a low-pass Wiener filter, a rough estimation of foreground regions using Nibla...

AmirAbbas Davari, Tobias Lindenberger, Armin Häberle, Vincent Christlein, Andreas Maier, Christian Riess 1. Pattern Recognition Lab, Computer Science Department, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany [amir.davari, tobias.lintob.lindenberger, vincent.christlein, andreas.maier, christian.riess] @fau.de 2. Bibliotheca Hertziana Max-Planck-Institut für Kunstgeschichte...