Slant estimation algorithm for OCR systems

Kavallieratou, Ergina; Fakotakis, Nikos; Kokkinakis, G.

doi:10.1016/s0031-3203(00)00153-9

Cited by 43 publications

(32 citation statements)

References 13 publications

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“…The methods can be roughly subdivided into two general approaches which could be called the angle-frequency approach (AF) and the repeated-shearing approach (RS). In AF, which is most popular (Kavallieratou et al, 2001), downstrokes are first located based on a criterion such as a minimal vertical extent or velocity. Next, the angle of the local ink direction is measured at those locations; the resulting angles are agglomerated in a histogram.…”

Section: Slant Estimationmentioning

confidence: 99%

“…RS is based on the assumption that the projection of dark pixels is maximal along an axis parallel to the slant angle. The basic principle is to repeatedly shear images of individual text lines, varying the shear angle, and optimizing a criterion on the vertical projection of dark pixels (Kavallieratou et al, 2001;Vinciarelli and Luettin, 2001). Such a criterion involves the maximization of peaks in the projection.…”

Section: Slant Estimationmentioning

confidence: 99%

“…It is a standard step in handwriting recognition systems, which use it to optimize recognition of the textual contents (Bertolami et al, 2007;Kavallieratou et al, 2001). It has also been called ''deslanting'', ''slant removal'', and ''slant correction''.…”

Section: Slant-eliminated Handwritingmentioning

confidence: 99%

See 2 more Smart Citations

Towards robust writer verification by correcting unnatural slant

Brink

Niels

Batenburg

et al. 2011

Pattern Recognition Letters

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Section: Slant Estimationmentioning

confidence: 99%

Section: Slant Estimationmentioning

confidence: 99%

See 1 more Smart Citation

Towards robust writer verification by correcting unnatural slant

Brink

Niels

Batenburg

et al. 2011

Pattern Recognition Letters

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“…Although numerous techniques have been proposed for both script identification [10,35,34,39] and font recognition [23,14,36,44,43], none focused on either word level classification or on optimizing performance for a given document. For entry-level tagging, we attach semantic labels to words or phrases.…”

Section: Related Workmentioning

confidence: 99%

Parsing and Tagging of Bilingual Dictionary

Karagol-Ayan

Doermann

et al. 2003

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Bilingual dictionaries hold great potential as a source of lexical resources for training and testing automated systems for optical character recognition, machine translation, and cross-language information retrieval. In this paper, we describe a system for extracting term lexicons from printed bilingual dictionaries. Our work was divided into three phases -dictionary segmentation, entry tagging, and generation. In segmentation, pages are divided into logical entries based on structural features learned from selected examples. The extracted entries are associated with functional labels and passed to a tagging module which associates linguistic labels with each word or phrase in the entry. The output of the system is a structure that represents the entries from the dictionary. We have used this approach to parse a variety of dictionaries with both Latin and non-Latin alphabets, and demonstrate the results of term lexicon generation for retrieval from a collection of French news stories using English queries.Keywords: Cross-Language IR, OCR, Logical Analysis, Page Segmentation, Bilingual DictionariesThe support of this research under DARPA cooperative agreement N660010028910 and DOD contract MDA90402C0406 is gratefully acknowledged. Report Documentation PageForm Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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“…The proposed technique has been developed as the last module of an integrated document analysis system, shown in fig. 1 [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%