FULLY AUTOMATED IDENTIFICATION AND SEGMENTATION OF FORM DOCUMENT Form Processing

Mandal, Sekhar; Chowdhury, Shyama Prosad; Das, Amit Kumar; Chanda, Bhabatosh

doi:10.1007/1-4020-4179-9_139

Cited by 2 publications

(2 citation statements)

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“…Lines are the essential elements of a form and their extraction is an important process before data extraction. This is evident in the works of researchers such as Pizano (1992) Paquet andLecourtier (1991) Moreau et al (1991) Guillevic and Suen (1993) Mandal et al (2006; However, in these researches, data extraction is degraded when characters are overlapped by boxes' lines. Boatto et al (1992a;1992b) proposed an interpretation system for land register maps.…”

Section: Fig 1: Example Of Data Filled Boxesmentioning

confidence: 99%

Handwritten Characters Extraction from Form Based on Line Shape Characteristics

Al-Faris

Mohamad²,

Ngah

et al. 2011

Journal of Computer Science

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Problem statement: Data entry form is a convenient and successful tool for information collection by filling in the sheets using pen and handwriting. One of the most important fields in these forms is the data filled boxes. Extracting the handwriting from the data entry forms is important for many purposes such as in documenting and archiving. The extraction process is also important in situations such as when it is necessary to the handwritten recognition process. Approach: A simple and effective approach is presented to extract handwritten characters, including digits and letters of any language from data filled boxes of data entry form and to deal with cases of overlaps between the handwritten characters and boxes lines. The proposed approach is based on line shape characteristic by detecting and removing the vertical and horizontal straight boxes lines, while preserving the curved lines which represent the handwritten characters. The problem of the handwritten characters overlapping with the data filled boxes line is solved using morphology dilation to reconstruct the broken characters after the removal of the boxes lines. Results: Experimental results have demonstrated that the proposed approach can extract handwriting from data filled boxes with overall 94.052% for data collection of 150 forms. Conclusion: The proposed algorithm has been successfully implemented and tested to achieve the objectives of handwritten extraction of any language from data filled boxes. However, this work could not deal with situations whereby the characters touch other immediate characters

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Section: Fig 1: Example Of Data Filled Boxesmentioning

confidence: 99%

Handwritten Characters Extraction from Form Based on Line Shape Characteristics

Al-Faris

Mohamad²,

Ngah

et al. 2011

Journal of Computer Science

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“…The CRM is also compared in a similar manner. The technique for comparison of DVHRM, DVVRM and CRM matrices of the query form and database forms is explained in[10]. The strength of the hierarchical method can be verified fromTable 1.…”

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confidence: 99%

A hierarchical method for automated identification and segmentation of forms

Mandal

Chowdhury

Das

et al. 2005

Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

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In this paper we propose a fully automatic hierarchical method for identification of forms using global as well as local features. Moments of certain orders are considered as global shape features and are utilised to reduce the search space by selecting a subset of forms present in the database. The type of the candidate form is then identified within this subset through detail analysis using local geometrical and topological features. The candidate form is then segmented to extract the user-filled information.

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FULLY AUTOMATED IDENTIFICATION AND SEGMENTATION OF FORM DOCUMENT Form Processing

Cited by 2 publications

References 10 publications

Handwritten Characters Extraction from Form Based on Line Shape Characteristics

Handwritten Characters Extraction from Form Based on Line Shape Characteristics

A hierarchical method for automated identification and segmentation of forms

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