Layout-free dewarping of planar document images

Niwa, Ryo; Horimatsu, Akira; Kise, Koichi; Uchida, Seiichi; Omachi, Shinichiro

doi:10.1117/12.806122

Cited by 3 publications

(4 citation statements)

References 8 publications

(10 reference statements)

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“…Since we assume all the characters exists on a flat paper, all CCs are expected to share the same parameters of shear and independent scaling. Thus, as similar to [2], a pair of plausible parameters are estimated by using density estimation in the 2D space as shown in Fig. 8(b).…”

Section: Letmentioning

confidence: 99%

“…Thus we have to extract correct results. In the previous paper, a few steps of a voting procedure similar to [2] was used. That is, as shown in Fig.…”

Section: Recognition and Pose Estimationmentioning

confidence: 99%

“…This is the first method which satisfies the following three requirements: (1) ready for real-time processing, (2) robust to perspective distortion, (3) free from layout constraints. The method is based on affine invariant matching of connected components (CCs) stored in the database and captured with a camera.…”

Section: Introductionmentioning

confidence: 99%

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Memory-based recognition of camera-captured characters

Tsuji

Kise

2010

Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

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This paper addresses how to quickly recognize a character pattern using a lot of case examples without learning. Here without learning means just finding the most similar example from the case examples, and pretend as if the OCR understands the definition of the character. This strategy is expected to work well in most cases with a large dataset, however, also expected to take a lot of time for finding the most similar example. In this paper, we show that a lot of case examples can be processed in a short time. As a testbed, we handle recognition problem of camera-captured printed characters. Using a database storing 100 fonts, the proposed method achieved 97.0% of recognition rate for images captured from the right angle and 95.8% for those from 45 deg. with 4.56ms of processing time, that is about 220 characters per second including every process.

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Section: Letmentioning

confidence: 99%

“…Thus we have to extract correct results. In the previous paper, a few steps of a voting procedure similar to [2] was used. That is, as shown in Fig.…”

Section: Recognition and Pose Estimationmentioning

confidence: 99%

See 1 more Smart Citation

Memory-based recognition of camera-captured characters

Tsuji

Kise

2010

Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

Self Cite

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show abstract

“…We assume all the characters in the query image are on a plane paper and have the same parameters of shear and independent scaling. Using affine transformation matrices of the estimation group, the best parameters of them are determined based on a densest point estimation (an approximate and faster version of [4]) in the 2D parameter space of shear and independent scaling.…”

Section: Retrieval Modulementioning

confidence: 99%