Template Based Segmentation of Touching Components in Handwritten Text Lines

Kang, Le; Doermann, David

doi:10.1109/icdar.2011.120

Cited by 10 publications

(8 citation statements)

References 25 publications

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“…We applied the proposed approach with binary segmentation adaption on the LTP dataset [14]. There are 744 local touching patches each for training and testing respectively.…”

Section: Resultsmentioning

confidence: 99%

“…There are 744 local touching patches each for training and testing respectively. The evaluation protocol is the same as [14] using MatchScore, and segmentation with a MatchScore above 0.80 is considered as a correct one. We optimized the parameters on the train data and evaluated the performance on the testing data.…”

Section: Resultsmentioning

confidence: 99%

“…This result demonstrates that the rejection strategy is effective. In Table I we compare the accuracy and efficiency of the proposed method with the template based method [14]. We can see the proposed method consumes significantly less time than [14] and its performance is fairly good when rejecting about half of the samples.…”

Section: Resultsmentioning

confidence: 99%

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Local Segmentation of Touching Characters Using Contour Based Shape Decomposition

Kang

Doermann

Cao

et al. 2012

2012 10th IAPR International Workshop on Document Analysis Systems

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We propose a contour based shape decomposition approach that provides local segmentation of touching characters. The shape contour is linearized into edgelets and edgelets are merged into boundary fragments. The connection cost between boundary fragments is obtained by considering local smoothness, connection length and a stroke-level property called the Same Stroke Rate. Samples of connections among boundary fragments are randomly generated and the one with the minimum global cost is selected to produce the final segmentation of the shape. To obtain a bipartite segmentation using this approach, we perform an iterative search for the parameters that finally yields two components on a shape. Experimental results on synthetic shape images and the LTP dataset show that this contour based shape decomposition technique is promising and it is effective for providing local segmentation of touching characters.

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“…We applied the proposed approach with binary segmentation adaption on the LTP dataset [14]. There are 744 local touching patches each for training and testing respectively.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Local Segmentation of Touching Characters Using Contour Based Shape Decomposition

Kang

Doermann

Cao

et al. 2012

2012 10th IAPR International Workshop on Document Analysis Systems

Self Cite

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show abstract

“…In [20], they proposed a new method called template based segmentation method for segmentation of touching characters. In this method created a dictionary file, which contains template of all possible touching with necessary detail.…”

Section: Touching Character and Its Typesmentioning

confidence: 99%

Segmentation of Touching Arabic Characters in Handwritten Documents by Overlapping Set Theory and Contour Tracing

Ullah¹,

Azmi²,

Ishak³

et al. 2019

IJACSA

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Segmentation of handwritten words into characters is one of the challenging problem in the field of OCR. In presence of touching characters, make this problem more difficult and challenging. There are many obstacles/challenges in segmentation of touching Arabic handwritten text. Although researches are busy in solving the problem of segmentation of these touching characters but still there exist unsolved problems of segmentation of touching offline Arabic handwritten characters. This is due to large variety of characters and their shapes. So in this research, a new method for segmentation of touching Arabic Handwritten character has been developed. The main idea of the proposed method is to segment the touching characters by identifying the touching point by overlapping set theory and ending points of the Arabic word by applying some standard morphology operation methods. After identifying all the points, segmentation method is applied to trace the boundaries of characters to separate these touching characters. Experiments were conducted on touching characters taken from different data sets. The results show the accuracy of the proposed method.

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“…Others approaches look for the best segmentation using recognition based on template matching. In [3], authors used templates formed by TCs with their correct segmentations. They computed similarity, using shape context descriptor, to find the best match in templates, and then they applied an overlaying technique.…”

Section: Introductionmentioning

confidence: 99%

Segmentation of Touching Component in Arabic Manuscripts

Aouadi

Kacem

Belaïd

2014

2014 14th International Conference on Frontiers in Handwriting Recognition

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International audience— Touching components are connection zones occurring between text-lines or words of the same line and are one of the problems that make unconstrained handwritten text segmentation greatly hard. In this paper, we propose a recognition based method to separate these components once localized in Arabic manuscript images. It first identifies, for a given touching component, a similar model stored in a dictionary with its correct segmentation, using shape context descriptor and an interpolation function. Then, it segment the touching component based on the distance from the midpoints of the identified model's parts. Tests are performed using a database of touching components and two metrics: Manhattan and Euclidean distances. Experimental results show the effectiveness of the proposed segmentation method

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Template Based Segmentation of Touching Components in Handwritten Text Lines

Cited by 10 publications

References 25 publications

Local Segmentation of Touching Characters Using Contour Based Shape Decomposition

Local Segmentation of Touching Characters Using Contour Based Shape Decomposition

Segmentation of Touching Arabic Characters in Handwritten Documents by Overlapping Set Theory and Contour Tracing

Segmentation of Touching Component in Arabic Manuscripts

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