کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
530798 869788 1983 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-oriented touching text character segmentation in graphical documents using dynamic programming
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Multi-oriented touching text character segmentation in graphical documents using dynamic programming
چکیده انگلیسی

The touching character segmentation problem becomes complex when touching strings are multi-oriented. Moreover in graphical documents sometimes characters in a single-touching string have different orientations. Segmentation of such complex touching is more challenging. In this paper, we present a scheme towards the segmentation of English multi-oriented touching strings into individual characters. When two or more characters touch, they generate a big cavity region in the background portion. Based on the convex hull information, at first, we use this background information to find some initial points for segmentation of a touching string into possible primitives (a primitive consists of a single character or part of a character). Next, the primitives are merged to get optimum segmentation. A dynamic programming algorithm is applied for this purpose using the total likelihood of characters as the objective function. A SVM classifier is used to find the likelihood of a character. To consider multi-oriented touching strings the features used in the SVM are invariant to character orientation. Experiments were performed in different databases of real and synthetic touching characters and the results show that the method is efficient in segmenting touching characters of arbitrary orientations and sizes.


► Touching text character segmentation.
► Multi-scale and multi-oriented character recognition.
► OCR in graphical documents.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 45, Issue 5, May 2012, Pages 1972–1983
نویسندگان
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