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Handwritten Text Line Segmentation by Shredding Text into its Lines
2009 10th International Conference on Document Analysis and Recognition, 2009In this paper, we propose a novel technique to segment handwritten document images into text lines by shredding their surface with local minima tracers. Our approach is based on the topological assumption that for each text line, there exists a path from one side of the image to the other that traverses only one text line.
Nicolaou A., Gatos B.
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Text line detection and segmentation
Proceedings of the 2010 ACM Symposium on Applied Computing, 2010A line detection and segmentation technique is presented. The proposed technique is an improved version of an older technique. The experiments have been performed on the dataset of the ICDAR 2007 handwriting segmentation contest in order to be able to compare, objectively, the performance of the two techniques.
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Handwritten text line segmentation by spectral clustering
SPIE Proceedings, 2017Since handwritten text lines are generally skewed and not obviously separated, text line segmentation of handwritten document images is still a challenging problem. In this paper, we propose a novel text line segmentation algorithm based on the spectral clustering.
Xuecheng Han, Hui Yao, Guoqiang Zhong
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Text Line Segmentation for Medieval Devnagari Manuscript
2020Optical character recognition (OCR) is a process to make a document image to an editable text. The whole process contains many phases to reach to the final character recognition. One of most important phases of OCR is Segmentation. Segmentation is a phase where document image is fragmented in individual lines, words, and character.
Nikita Mehta, Jyotika Doshi
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A New Method for Text-Line Segmentation for Warped Documents
2010Bound documents either scanned or captured with digital cameras often present a geometrical warp that makes text-lines curled. The identification of text-lines is one of the steps for document de-warping when only a single image is available. This paper presents a new method for text-line segmentation.
Daniel Marques de Oliveira +4 more
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Learning Text-Line Segmentation Using Codebooks and Graph Partitioning
2012 International Conference on Frontiers in Handwriting Recognition, 2012In this paper, we present a codebook based method for handwritten text-line segmentation which uses image-patches in the training data to learn a graph-based similarity for clustering. We first construct a codebook of image-patches using K-medoids, and obtain exemplars which encode local evidence.
Le Kang +3 more
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A new algorithm for segmenting warped text-lines in document images
Proceedings of the 2011 ACM Symposium on Applied Computing, 2011The digitalization of bound documents either using flatbed scanners or digital cameras often yield images with non-straight text-lines due to a geometrical warp. This paper presents a new algorithm for text-line segmentation for documents captured by digital cameras or scanners.
Daniel Marques de Oliveira +4 more
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SUPERPIXEL BASED TEXT LINE SEGMENTATION
2019Satır bölütleme tarihi doküman analizi uygulamalarının en temelaşamalarından birisidir. Satır bölütleme başarısı, daha sonraki doküman analiziyöntemlerinin başarısını doğrudan etkilemektedir. Matbu belgelerde kayıpsız satırbölütleme işlemi kolaylıkla yapılabilmektedir.
DEMİR, Ali Alper, ÖZKAYA, Ufuk
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Template Based Segmentation of Touching Components in Handwritten Text Lines
2011 International Conference on Document Analysis and Recognition, 2011In this paper, we present a template based approach to the segmentation of touching components in handwritten text lines. Local patches around touching components are identified and a dictionary is created consisting of template patches together with their correct segmentations. We use two shape context based methods to compute similarity between input
Le Kang, David S. Doermann
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