Background Removal of Document Images Acquired Using Portable Digital Cameras

Silva, André R. Gomes e; Lins, Rafael Dueire

doi:10.1007/11559573_35

Cited by 6 publications

(2 citation statements)

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“…Taking photos of documents with smartphone cameras, an attitude that started almost two decades ago [ 1 , 2 , 3 , 4 ], became of widespread use today. It is extremely simple and saves photocopying costs, allowing the document image to be easily stored and shared using computer networks.…”

Section: Introductionmentioning

confidence: 99%

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A Quality, Size and Time Assessment of the Binarization of Documents Photographed by Smartphones

2023

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Smartphones with an in-built camera are omnipresent today in the life of over eighty percent of the world’s population. They are very often used to photograph documents. Document binarization is a key process in many document processing platforms. This paper assesses the quality, file size and time performance of sixty-eight binarization algorithms using five different versions of the input images. The evaluation dataset is composed of deskjet, laser and offset printed documents, photographed using six widely-used mobile devices with the strobe flash off and on, under two different angles and four shots with small variations in the position. Besides that, this paper also pinpoints the algorithms per device that may provide the best visual quality-time, document transcription accuracy-time, and size-time trade-offs. Furthermore, an indication is also given on the “overall winner” that would be the algorithm of choice if one has to use one algorithm for a smartphone-embedded application.

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Section: Introductionmentioning

confidence: 99%

“…Smartphone document images have several problems that bring challenges to processing them. The resolution and illumination are uneven, there are perspective distortions, and often the interference of external light sources [ 4 ]. Even the in-built strobe flash may add further difficulties if activated by the user or automatically.…”

Section: Introductionmentioning

confidence: 99%