Text extraction in complex color documents

Strouthopoulos, C.; Papamarkos, Nikos; Atsalakis, A.

doi:10.1016/s0031-3203(01)00167-4

Cited by 56 publications

(21 citation statements)

References 15 publications

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“…Sahooet.al [33] projected a set of sequential algorithms for text extraction and enhancement of image using cellular automata. The Luminance-based algorithm was used to convert the image in to grey scale image.Converted image have only luminosity attribute.…”

Section: Heterogeneous Text Imagesmentioning

confidence: 99%

A Survey On Various Approaches Of Text Extraction In Images

Santhanam¹

2012

IJCSES

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Section: Heterogeneous Text Imagesmentioning

confidence: 99%

A Survey On Various Approaches Of Text Extraction In Images

Santhanam¹

2012

IJCSES

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“…The second aim, which is most closely aligned with this work, attempts to reduce the complexity of the document analysis and processing system. Many techniques [29,30,31,32,33,34,35,36,37,38] have been proposed that attempt to address the colour issue for text extraction from colour documents. Some of these work directly in the RGB colour model [30,31,33,35], while others convert the images to a HVS (Human Visual System) colour model [29,32,34].…”

Section: A Colour Based Extraction Systemmentioning

confidence: 99%

Use of colour for hand-filled form analysis and recognition

Sherkat

Allen

Wong

2005

Pattern Anal Applic

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Colour information in form analysis is currently under utilised. As technology has advanced and computing costs have reduced, the processing of forms in colour has now become practicable. This paper describes a novel colour-based approach to the extraction of filled data from colour form images.Images are first quantised to reduce the colour complexity and data is extracted by examining the colour characteristics of the images. The improved performance of the proposed method has been verified by comparing the processing time, recognition rate, extraction precision and recall rate to that of an equivalent black and white system.

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“…The procedure can be iterated giving rise to a growing process which adjoins unconnected adjacent components to cluster higher-order components (such as words, lines, document zones). Strouthopoulos et al [8] proposed such technique to automatically detect and extract text in mixed-type color documents using a combination of an adaptive color reduction technique and a page layout analysis approach. Jain et al [9] presented a geometric layout analysis of technical journal pages using connected component extraction to efficiently implement page segmentation and region identification.…”

Section: Introductionmentioning

confidence: 99%

Text localization using standard deviation analysis of structure elements and support vector machines

Zagoris

Chatzichristofis

Papamarkos

2011

EURASIP J. Adv. Signal Process.

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A text localization technique is required to successfully exploit document images such as technical articles and letters. The proposed method detects and extracts text areas from document images. Initially a connected components analysis technique detects blocks of foreground objects. Then, a descriptor that consists of a set of suitable document structure elements is extracted from the blocks. This is achieved by incorporating an algorithm called Standard Deviation Analysis of Structure Elements (SDASE) which maximizes the separability between the blocks. Another feature of the SDASE is that its length adapts according to the requirements of the application. Finally, the descriptor of each block is used as input to a trained support vector machines that classify the block as text or not. The proposed technique is also capable of adjusting to the text structure of the documents. Experimental results on benchmarking databases demonstrate the effectiveness of the proposed method.

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Text extraction in complex color documents

Cited by 56 publications

References 15 publications

A Survey On Various Approaches Of Text Extraction In Images

A Survey On Various Approaches Of Text Extraction In Images

Use of colour for hand-filled form analysis and recognition

Text localization using standard deviation analysis of structure elements and support vector machines

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