{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T08:06:01Z","timestamp":1775289961804,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/icpr.2018.8545609","type":"proceedings-article","created":{"date-parts":[[2018,11,29]],"date-time":"2018-11-29T19:17:38Z","timestamp":1543519058000},"page":"3162-3167","source":"Crossref","is-referenced-by-count":32,"title":["Enhancing OCR Accuracy with Super Resolution"],"prefix":"10.1109","author":[{"given":"Ankit","family":"Lat","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. V.","family":"Jawahar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","author":"wang","year":"2016","journal-title":"End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks"},{"key":"ref32","article-title":"Scaling binary images with the telescoping template","author":"troxel","year":"1982","journal-title":"PAMI"},{"key":"ref31","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref30","article-title":"Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network","author":"wenzhe","year":"2016","journal-title":"CVPR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/38.988747"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1023\/A:1026501619075","article-title":"Learning low-level vision","author":"freeman","year":"2000","journal-title":"Intl J Computer Vision"},{"key":"ref12","article-title":"Machine Reading of Camera-Held Low Quality Text Images: an ICA-Based image enhancement approach for improving ocr accuracy","author":"garain","year":"2008","journal-title":"ICPR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459271"},{"key":"ref14","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.04.043"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.1998.727527"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/1049-9652(91)90045-L"},{"key":"ref18","author":"isola","year":"2016","journal-title":"Image-to-image translation with conditional adversarial networks"},{"key":"ref19","article-title":"Invariant image recognition by zernikc moments","author":"khohnzad","year":"1990","journal-title":"PAMI"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/34.56197"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/34.506792"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/34.824820"},{"key":"ref3","author":"capel","year":"2001","journal-title":"Image mosaicing and super-resolution"},{"key":"ref6","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"Computer Vision - ECCV"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11045-007-0018-z"},{"key":"ref8","article-title":"Accelerating the super-resolution convolutional neural network","author":"dong","year":"2016","journal-title":"Computer Vision - ECCV"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2008.26"},{"key":"ref9","article-title":"Fast and robust multi-frame super-resolution","author":"farsiu","year":"2003","journal-title":"IEEE Transactions on Image Processing"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1033210"},{"key":"ref20","article-title":"Adaptive fuzzy model for blur estimation on document images","author":"van cuong","year":"2017","journal-title":"Pattern Recognition Letters"},{"key":"ref22","article-title":"Example-based learning for single-image super-resolution","author":"kim","year":"2008","journal-title":"Proceedings of the 30th DAGM Symposium on Pattern Recognition"},{"key":"ref21","author":"kim","year":"2015","journal-title":"Deeply-Recursive Convolutional Network for Image Super-Resolution"},{"key":"ref24","author":"christian","year":"2016","journal-title":"Photo-realistic single image super-resolution using a generative adversarial network"},{"key":"ref23","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref25","article-title":"Fundamental limits of reconstruction-based superresolution algorithms under local translation","author":"lin","year":"2004","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"}],"event":{"name":"2018 24th International Conference on Pattern Recognition (ICPR)","location":"Beijing","start":{"date-parts":[[2018,8,20]]},"end":{"date-parts":[[2018,8,24]]}},"container-title":["2018 24th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8527858\/8545020\/08545609.pdf?arnumber=8545609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T07:26:36Z","timestamp":1775287596000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8545609\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icpr.2018.8545609","relation":{},"subject":[],"published":{"date-parts":[[2018,8]]}}}