A fast algorithm for bottom-up document layout analysis

Simon, Aniko; Pret, J.-C.; Johnson, A. Peter

doi:10.1109/34.584106

Cited by 126 publications

(75 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are various upgrades of this approach, e.g. [40]. More recent methods utilize typographic principles and knowledge about document structure.…”

Section: Document Segmentationmentioning

confidence: 99%

See 1 more Smart Citation

Image-based logical document structure recognition

Kamola

Spytkowski

Paradowski

et al. 2014

Pattern Anal Applic

View full text Add to dashboard Cite

The paper presents a complete solution for recognition of textual and graphic structures in various types of documents acquired from the Internet. In the proposed approach, the document structure recognition problem is divided into sub-problems. The first one is localizing logical structure elements within the document. The second one is recognizing segmented logical structure elements. The input to the method is an image of document page, the output is the XML file containing all graphic and textual elements included in the document, preserving the reading order of document blocks. This file contains information about the identity and position of all logical elements in the document image. The paper describes all details of the proposed method and shows the results of the experiments validating its effectiveness. The results of the proposed method for paragraph structure recognition are comparable to the referenced methods which offer segmentation only.

show abstract

“…There are various upgrades of this approach, e.g. [40]. More recent methods utilize typographic principles and knowledge about document structure.…”

Section: Document Segmentationmentioning

confidence: 99%

“…The first methods of structure separation, developed in the 90s, represent the bottom-up approach, e.g. [11,23,40]. These algorithms process local information about groups or single non-white pixels.…”

Section: Document Segmentationmentioning

confidence: 99%

Image-based logical document structure recognition

Kamola

Spytkowski

Paradowski

et al. 2014

Pattern Anal Applic

View full text Add to dashboard Cite

show abstract

“…The proposed technique relies on the fact that printed characters show strong regularity in shape, while handwritten text has no such characteristics [28,29]. Two assumptions have been made in the application of this technique: a) the skew angle problem has been solved; and b) the areas of printed and handwritten text are not overlapped.…”

Section: Handwritten Text Discriminationmentioning

confidence: 99%

An unconstrained handwriting recognition system

Kavallieratou¹,

Fakotakis²,

Kokkinakis

2002

International Journal on Document Analysis and Recognition

View full text Add to dashboard Cite

Abstract. In this paper, an integrated offline recognition system for unconstrained handwriting is presented. The proposed system consists of seven main modules: skew angle estimation and correction, printedhandwritten text discrimination, line segmentation, slant removing, word segmentation, and character segmentation and recognition, stemming from the implementation of already existing algorithms as well as novel algorithms. This system has been tested on the NIST, IAM-DB, and GRUHD databases and has achieved accuracy that varies from 65.6% to 100% depending on the database and the experiment.

show abstract

“…However, Hough transform is a computationally expensive method. The minimum spanning tree methods [21,22] are employed according to the properties of text clustering and typesetting. The extracted minimum spanning trees are not considered the text-line structures yet; some criteria are further adopted to delete redundant or add additional edges to form complete text-lines.…”

Section: Text-line Constructionmentioning

confidence: 99%