2015
DOI: 10.1007/978-3-319-12012-6_63
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Text Detection and Recognition Using Camera Based Images

Abstract: Abstract. The increase in availability of high performance, low-priced, portable digital imaging devices has created an opportunity for supplementing traditional scanning for document image acquisition. Cameras attached to cellular phones, wearable computers, and standalone image or video devices are highly mobile and easy to use; they can capture images making them much more versatile than desktop scanners. Should gain solutions to the analysis of documents captured with such devices become available, there w… Show more

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Cited by 3 publications
(3 citation statements)
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“…For that purpose, some image pre-processing methods have been proposed and incorporated along with the text detection and recognition models for enhancing the performance. Darshan et al [9] has established a detection approach based on the MSER detector and has further explained the text region detection in an input image. Moreover, this process is a general activity over the unstructured scenes of the images while capturing the videos from the unstabilized positions and it also performs the segmentation processes on the text from the cluttered images and recognizes the characters perfectly.…”
Section: Literature Surveymentioning
confidence: 99%
See 1 more Smart Citation
“…For that purpose, some image pre-processing methods have been proposed and incorporated along with the text detection and recognition models for enhancing the performance. Darshan et al [9] has established a detection approach based on the MSER detector and has further explained the text region detection in an input image. Moreover, this process is a general activity over the unstructured scenes of the images while capturing the videos from the unstabilized positions and it also performs the segmentation processes on the text from the cluttered images and recognizes the characters perfectly.…”
Section: Literature Surveymentioning
confidence: 99%
“…Afterwards, the lexicon term lt à that is more suitable with the score matrix TRM can be identified using Eq. (9).…”
Section: Testing Process For the Text Recognitionmentioning
confidence: 99%
“…OCR technology is used to read the text included in an image, typically a handwritten or a printed document that has been captured or scanned. (Darshan et al, 2015;Shu et al, 2022)…”
Section: Optical Character Recognition Technologymentioning
confidence: 99%