Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Computer Vision Based Automatic Margin Computation Model for Digital Document Images Subject The topic of the resource Computer vision; Digital image processing; Margin detection; Text localization Description An account of the resource Margin, in typography, is described as the space between the text content and the document edges and is often essential information for the consumer of the document, digital or physical. In the present age of digital disruption, it is customary to store and retrieve documents digitally and retrieve information automatically from the documents when necessary. Margin is one such non-textual information that becomes important for some business processes, and the demand for computing margins algorithmically mounts to facilitate RPA. We propose a computer vision-based text localization model, utilizing classical DIP techniques such as smoothing, thresholding, and morphological transformation to programmatically compute the top, left, right, and bottom margins within a digital document image. The proposed model has been experimented with different noise filters and structural elements of various shapes and size to finalize the bilateral filter and lines and structural elements for the removal of noises most commonly occurring due to scans. The proposed model is targeted towards text document images and not the natural scene images. Hence, the existing benchmark models developed for text localization in natural scene images have not performed with the expected accuracy. The model is validated with 485 document images of a real-time business process of a reputed TI company. The results show that 91.34 % of the document images have conferred more than 90 % IoU value which is well beyond the accuracy range determined by the company for that specific process. 2023, Crown. Creator An entity primarily responsible for making the resource Guha A.; Samanta D.; Sengar S.S. Source A related resource from which the described resource is derived SN Computer Science, Vol-4, No. 3 Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42979-023-01693-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42979-023-01693-5</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150171922&amp;doi=10.1007%2Fs42979-023-01693-5&amp;partnerID=40&amp;md5=153905902498c35e46288fbcddde7c44" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150171922&amp;doi=10.1007%2fs42979-023-01693-5&amp;partnerID=40&amp;md5=153905902498c35e46288fbcddde7c44</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 2662995X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Guha A., Department of Data Science, CHRIST (Deemed to be) University, Karnataka, Bengaluru, India, R &amp;D Scientist, First American India Private Limited, Karnataka, Bengaluru, India; Samanta D., Department of Data Science, CHRIST (Deemed to be) University, Karnataka, Bengaluru, India, Department of Computational Information Technology, Rochester Institute of Technology, Germia Campus, Prishtina, Kosovo, 10000; Sengar S.S., Department of Computer Science, Cardiff Metropolitan University, Cardiff, CF5 2YB, United Kingdom