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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Optical Character Recognition system with Projection Profile based segmentation and Deep Learning Techniques Subject The topic of the resource Deep Learning; Document detection; line level segmentation; OCR; Optical Character Recognition; Projection Profiling; VGG16; word level segmentation Description An account of the resource Optical character recognition is the solution to convert text from printed or scanned documents into editable data. This project is aimed at building a Optical character recognition system that recognizes digital text. A document is first detected using contour-based detection technique without altering the angle of the image and is segmented into lines, once the lines are segmented the words embedded in them are extracted. This segmentation is done using projection profiling method. Characters are then segmented words with vertical projection profiling from the extracted words. These characters are fed into an image recognition model for recognition. The recognition model is CNN based deep learning model. Modified VGG16 architecture is used here to extract maximum features from the images and then classify them. To train the model a dataset is created from a repository of digital character dataset. The dataset consists of images of 153 font variants. 2022 IEEE. Creator An entity primarily responsible for making the resource Arockia Rexi F.; Jacob L. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 12-16. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N56670.2022.10074151" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074151</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152191319&amp;doi=10.1109%2FICAC3N56670.2022.10074151&amp;partnerID=40&amp;md5=65408f9f6ca8f8795b46be6569177c4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152191319&amp;doi=10.1109%2fICAC3N56670.2022.10074151&amp;partnerID=40&amp;md5=65408f9f6ca8f8795b46be6569177c4c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arockia Rexi F., Christ University, Department of Data Science, Lavasa, Pune, India; Jacob L., Christ University, Department of Data Science, Lavasa, Pune, India