Results 11 to 20 of about 530 (158)
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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End-to-End Transcript Alignment of 17th Century Manuscripts: The Case of Moccia Code
The growth of digital libraries has yielded a large number of handwritten historical documents in the form of images, often accompanied by a digital transcription of the content. The ability to track the position of the words of the digital transcription
Giuseppe De Gregorio +2 more
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Text Line Extraction in Historical Documents Using Mask R-CNN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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Understanding Unsupervised Deep Learning for Text Line Segmentation
We propose an unsupervised feature learning approach for segmenting text lines of handwritten document images with no labelling effort. Humans can easily group local text line features to global coarse patterns.
Ahmad Droby +5 more
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Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction
Text line segmentation is an essential stage in off-line optical character recognition (OCR) systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse
Darko Brodić +2 more
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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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A probabilistic framework for handwritten text line segmentation
47 pages, 23 ...
Francisco Cruz 0003 +1 more
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ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM
On-line Arabic handwritten character recognition is one of the most challenging problems in pattern recognition field. By now, printed Arabic character recognition and on-line Arabic handwritten recognition has been gradually practical, while offline ...
Haithem Abd Al-RaheemTaha
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The paper introduces a testing framework for the evaluation and validation of text line segmentation algorithms. Text line segmentation represents the key action for correct optical character recognition. Many of the tests for the evaluation of text line
Zoran N. Milivojevic +2 more
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Segmentation of Arabic Handwritten Text to Lines
AbstractAutomatic recognition of writing is among the most important axes in the NLP (Natural language processing). Several entities of different areas demonstrated the need in recognition of handwritten Arabic characters; particularly banks check processing, post office for the automation of mail sorting, the insurance for the treatment of forms and ...
Younes, Mokhtari, Abdellah, Yousfi
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