Results 21 to 30 of about 35,621 (257)
AT-Text: Assembling Text Components for Efficient Dense Scene Text Detection
Text detection is a prerequisite for text recognition in scene images. Previous segmentation-based methods for detecting scene text have already achieved a promising performance.
Haiyan Li, Hongtao Lu
doaj +1 more source
Text Line Extraction in Historical Documents Using Mask R-CNN
Text line extraction is an essential preprocessing step in many handwritten document image analysis tasks. It includes detecting text lines in a document image and segmenting the regions of each detected line.
Ahmad Droby +5 more
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Binarization and Segmentation Framework for Sundanese Ancient Documents
Binarization and segmentation process are two first important methods for optical character recognition system. For ancient document image which is written by human, binarization process remains a major challenge.In general, it is occurring because the ...
Erick Paulus +4 more
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Handwritten documents are, as always, highly challenging for recognition tasks compared to printed documents. Rather than using isolated characters as elementary components for recognition, practical documents use words or character strings.
Mamatarani Das, Mrutyunjaya Panda
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Unsupervised Learning of Text Line Segmentation by Differentiating Coarse Patterns [PDF]
Despite recent advances in the field of supervised deep learning for text line segmentation, unsupervised deep learning solutions are beginning to gain popularity. In this paper, we present an unsupervised deep learning method that embeds document image patches to a compact Euclidean space where distances correspond to a coarse text line pattern ...
Berat Kurar Barakat +3 more
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A probabilistic framework for handwritten text line segmentation
47 pages, 23 ...
Francisco Cruz 0003 +1 more
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Line Segmentation of Handwritten Text Using Histograms and Tensor Voting
There are a large number of historical documents in libraries and other archives throughout the world. Most of them are written by hand. In many cases they exist in only one specimen and are hard to reach.
Babczyński Tomasz, Ptak Roman
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Offline handwritten text recognition (HTR) typically relies on segmented text-line images for training and transcription. However, acquiring line-level position and transcript information can be challenging and time-consuming, while automatic line ...
Mohammed Hamdan, Mohamed Cheriet
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Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving
Inspired from human perception and common text documents characteristics based on readability constraints, an Arabic text line segmentation approach is proposed using seam carving.
Abdelghani Souhar, Mehdi Daldali
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An efficient, font independent word and character segmentation algorithm for printed Arabic text
Characters segmentation is a necessity and the most critical stage in Arabic OCR system. It has attracted the interest of a wide range of researchers. However, the nature of the Arabic cursive script poses extra challenges that need further investigation.
Aziz Qaroush +5 more
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