The week's pick
Reseach Article
Text Retrieval from Natural and Scanned Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 133 - Number 8 |
| Year of Publication: 2016 |
| Authors: Jayshree Ghorpade-Aher, Sumeet Gajbhar, Amey Sarode, Govardhan Gayake, Piyush Daund |
10.5120/ijca2016907840
|
Jayshree Ghorpade-Aher, Sumeet Gajbhar, Amey Sarode, Govardhan Gayake, Piyush Daund . Text Retrieval from Natural and Scanned Images. International Journal of Computer Applications. 133, 8 ( January 2016), 10-12. DOI=10.5120/ijca2016907840
Abstract
Digital documents are easy to handle, share and store than hard copy of documents. These made people to prefer digital document over hard copy of documents. Digital documents are nothing but scanned images of a document or natural images of notice boards, traffic signs. Text detection is an important process required to extract text from images. Text from images can be extracted using Optical Character Recognition (OCR). OCR works in three phases as pre-processing, segmentation, character recognition. Pre-processing is the first phase which uses different techniques for making text easy to extract from images. In segmentation phase, each character is isolated. Then this will be given as input to OCR recognition phase which will compare it with training data-set and will recognize character. In this survey paper, different techniques for OCR are discussed.
References
- Jack Greenhalgh and Majid Mirmehdi, Recognizing Text-Based Traffic Signs, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTA-TION SYSTEMS, VOL. 16, NO. 3, JUNE 2015.
- Huizhong Chen, Sam S. Tsai, Georg Schroth, David M. Chen, Radek Grzeszczuk and Bernd Girod, Robust Text Detection in Natural Images with egde-enhanced Maximally Stable Extremal Regions, ICIP 2011.
- Xiaojun Zhai, Faycal Bensaali and Klaus McDonald-Maier, Automatic Number Plate Recognition on FPGA, 978-1-4799-2452-3/13 IEEE, 2013.
- Sushruth Shastry, Gunasheela G, Thejus Dutt, Vinay D S and Sudhir Rao Rupanagudi, i - A novel algorithm for Optical Character Recognition (OCR), 978-1-4673-5090-7/13 IEEE, 2013.
- Julinda Gllavata, Ralph Ewerth and Bernd Freisleben, A Robust Algorithm for Text Detection in Images, University of Marburg, D-35032 Marburg, Germany.
- Jayshree Ghorpade, Raviraj Palvankar, Ajinkya Patankar and Snehal Rathi, EXTRACTING TEXT FROM VIDEO, Signal & Image Processing : An International Journal (SIPIJ) Vol.2, No.2, June 2011
- Mrunmayee Pati,Ramesh Kagalkar, An Automatic Approach for Translating Simple Images into Text Descriptions and Speech for Visually Impaired People, International Journal of Computer Applications (0975 8887)Volume 118 No. 3, May 2015.
- Binh Quang Long Mai, Tue Huu Huynh, Anh Dong Doan, A Study about the Reconstruction of Remote, Low Resolution Mobile Captured Text Images for OCR, 978-1-4799-6956-2/14 IEEE, 2014.
- Sushruth Shastry, Gunasheela G, Thejus Dutt, Vinay D S and Sudhir Rao Rupanagudi, i - A novel algorithm for Optical Character Recognition (OCR), 978-1-4673-5090-7/13 IEEE, 2013.
- Faisal Mohammad, Jyoti Anarase, Milan Shingote, Pratik Ghanwat, Optical Character Recognition Implementation Using Pattern Matching, International Journal of Computer Science and Information Technolo-gies, Vol. 5 (2) , 2014.
- Adam Coates, Blake Carpenter, Carl Case, Sanjeev Satheesh, Bipin Suresh, Tao Wang, David J. Wu, Andrew Y. Ng, Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning, ICDAR.
- Jisha Gopinath, Aravind S, Pooja Chandran, Saranya S S, Text to Speech Conversion System using OCR, IJETAE, Volume 5, Issue 1, January 2015.
- Yao Li and Huchuan Lu, Scene Text Detection via Stroke Width, 21st International Conference on Pattern Recognition (ICPR 2012), November 11-15, 2012, Tsukuba, Japan.
- Er. Kavneet Kaur, Vijay Kumar Banga, Number Plate Recognition using OCR Technique, International Journal of Research in Engineering and Technology eISSN: 2319-1163 — pISSN: 2321-7308.
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