Please wait, while we are loading the content...
Please wait, while we are loading the content...
| Content Provider | Springer Nature Link |
|---|---|
| Author | Li, Yuan Xiang Tan, Chew Lim Ding, Xiaoqing |
| Copyright Year | 2005 |
| Abstract | In the recognition of offline handwritten Chinese scripts, contextual post-processing plays a vital role in improving accuracy. In this paper, we systematically analyze the key factors that have an impact on the performance of contextual post-processing: statistical language models (LMs), candidate confidence, candidate set size, and search strategy. We then present a hybrid post-processing system, which integrates various kinds of information available. Next, we investigate seven LMs, four estimation methods of candidate confidence and different size of candidate set, and illustrate their influence on the performance of contextual post-processing in detail. Experimental results justify that the performance of the LMs are affected by training corpora size, smoothing method, and model pruning, and that lower perplexity correlates with a high accuracy. Comparing different estimation methods of candidate confidence shows that, it is vital to the contextual post-processing. We also show that allowing the correct characters to be captured in a limited number of candidates is extremely important for obtaining good post-processing performance. By adopting the hybrid post-processing, we can obtain high accuracy while paying attention to post-processing speed and memory space at the same time. It is shown that the average recognition accuracy of three Chinese scripts (about 66,000 characters in total) can reach 97.65%, which means 87% error correction rate in comparison with the 81.58% average accuracy before post-processing. In the end, we give some proposals for choosing a proper post-processing method for real script recognition tasks. |
| Starting Page | 272 |
| Ending Page | 286 |
| Page Count | 15 |
| File Format | |
| ISSN | 14337541 |
| Journal | Pattern Analysis & Applications |
| Volume Number | 8 |
| Issue Number | 3 |
| e-ISSN | 1433755X |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2005-10-21 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Chinese character recognition Contextual post-processing Statistical language model Perplexity Candidate confidence Candidate set size Pattern Recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Vision and Pattern Recognition |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|