Unconstrained Japanese address recognition using a combination of spatial information and word knowledge

Ishidera, Eiki; Nishiwaki, Daisuke; Yamada, Jun

doi:10.1109/icdar.1997.620663

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…The proposed method uses only the character patterns with a high recognition rate, therefore, there is a difference in the purpose and the means in comparison with Ref. [6].…”

Section: Discussionmentioning

confidence: 96%

“…[6] uses the data with a poor recognition rate for learning to enable the reliability estimation of the document with a poor recognition rate. The proposed method aimed at estimating the character pattern with a high recognition rate from among documents that consist of various pattern qualities including patterns with a poor recognition rate.…”

Section: Discussionmentioning

confidence: 99%

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A reliability estimation method of character recognition using maximization of error-rejection rate

Kimura

Nishi

Mukai

2010

TENCON 2010 - 2010 IEEE Region 10 Conference

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We propose a novel reliability estimation method which judges whether the recognition result is correct or erroneous in character recognition. To solve the problem, this paper have the problem of the reliability estimation return to the constraint satisfaction problems of maximizing the errorrejection rate when the own-category relief rate is given. To calculate the correct-acceptance rate and error-rejection rate, the technology of two thresholds used in the field of reject judgment is applied. Since this problem cannot be solved by an equation, this paper proposes a graphic solution. The formulation of the problem and the solution proposal are new. In an experiment using character patterns written in free style, reliability achieved a range from 0.802 to 0.819. Since the recognition rate was 74.8%, the value converted into the percentage of reliability exceeds the recognition rate. On the patterns estimated as correct recognition, the cumulative classification rates of top-1, top-2 and top-10 were 90.5%, 94.5% and 97.2%, respectively, and the occupation rate that is proportion of the patterns in entire patterns was 71.8%. The experimental results show the proposed method can extract only the high-quality character pattern whose recognition rate is 90.5% from among unknown patterns including a poor-quality character pattern whose recognition rate is 74.8%. These results confirm that the proposed method is effective against real world problems and is sufficient for practical application.

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“…The proposed method uses only the character patterns with a high recognition rate, therefore, there is a difference in the purpose and the means in comparison with Ref. [6].…”

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

A reliability estimation method of character recognition using maximization of error-rejection rate

Kimura

Nishi

Mukai

2010

TENCON 2010 - 2010 IEEE Region 10 Conference

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show abstract

“…However, massive amounts of storage are needed to store a whole list of printed monetary amounts in terms of a word dictionary as in Ref. 6. On the other hand, it is known that representation of linguistic knowledge based on symbols and grammars, as in Refs.…”

Section: Introductionmentioning

confidence: 99%

A robust method for recognition of monetary amount printed by checkwriter

Koga¹,

Mine

Yasue

et al. 2004

Systems & Computers in Japan

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SUMMARYWe propose a new method to recognize monetary amounts printed by checkwriters. We applied a character segmentation method robust to noise and a bottom-up parsing for postprocessing. In the proposed method, the input image is segmented both horizontally and vertically in the presegmentation step. A context-free grammar describes the linguistic constraints in the monetary amounts. We devised a new bottom-up parsing technique that interprets the results of character classification. We tested the validity of the new method using 1314 images. The correct ratio was 72.7%, which is 8.4 points higher than that of the conventional method.

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Document Analysis in Postal Applications and Check Processing

Gilloux¹

2014

Handbook of Document Image Processing and Recognition

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Unconstrained Japanese address recognition using a combination of spatial information and word knowledge

Cited by 9 publications

References 3 publications

A reliability estimation method of character recognition using maximization of error-rejection rate

A reliability estimation method of character recognition using maximization of error-rejection rate

A robust method for recognition of monetary amount printed by checkwriter

Document Analysis in Postal Applications and Check Processing

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