Automated evaluation of OCR zoning

Kanai, Junichi; Rice, Stephen V.; Nartker, Thomas A.; Nagy, George

doi:10.1109/34.368146

Cited by 76 publications

(24 citation statements)

References 2 publications

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“…Other evaluations of page segmentation methods have been constrained by their use of indirect evaluation (e.g. the OCR-based approach of UNLV [1]) and/or the limited scope of the dataset (e.g. the structured documents used in [2].…”

Section: Introductionmentioning

confidence: 99%

ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015

Antonacopoulos

Clausner

Papadopoulos

et al. 2015

2015 13th International Conference on Document Analysis and Recognition (ICDAR)

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Section: Introductionmentioning

confidence: 99%

ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015

Antonacopoulos

Clausner

Papadopoulos

et al. 2015

2015 13th International Conference on Document Analysis and Recognition (ICDAR)

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“…They are popular for different purposes in document understanding. Kanai et al [6] proposed an evaluation schema based on the number of edit operations (insertions, deletions and moves). This performance metric was used to evaluate the automatic zoning accuracy of four commercial OCRs.…”

Section: A6-smearingmentioning

confidence: 99%

On Segmentation of Documents in Complex Scripts

Kumar

Jawahar

2007

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2

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“…based on the Levenshtein edit distance). The difference then denotes the costs of correcting the segmentation errors [KRN93,KRNN95].…”

Section: Text Based Benchmarkingmentioning

confidence: 99%

On Benchmarking of Invoice Analysis Systems

Klein

Agne

Dengel

2006

Document Analysis Systems VII

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Abstract. An approach is presented to guide the benchmarking of invoice analysis systems, a specific, applied subclass of document analysis systems. The state of the art of benchmarking of document analysis systems is presented, based on the processing levels: Document Page Segmentation, Text Recognition, Document Classification, and Information Extraction. The restriction to invoices enables and requires a more purposeful, i.e. detailed, targetting of the benchmarking procedures (acquisition of ground truth data, system runs, comparison of data, condensation into meaningful numbers). Therefore the processing of invoices is dissected. The involved data structures are elicited and presented. These are provided, being the building blocks of the actual benchmarking of invoice analysis systems.

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Automated evaluation of OCR zoning

Cited by 76 publications

References 2 publications

ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015

ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015

On Segmentation of Documents in Complex Scripts

On Benchmarking of Invoice Analysis Systems

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