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Content Provider | IEEE Xplore Digital Library |
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Author | Reese, J. Murdock, M. Reid, S. Hamilton, B. |
Copyright Year | 2014 |
Description | Author affiliation: Content Syst. Group, Ancestry.com, Provo, UT, USA (Reese, J.; Murdock, M.; Reid, S.; Hamilton, B.) |
Abstract | This paper describes the ANWRESH (Anncestry Word Recognition from Segmented Historical Documents)competition held at the 14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014). This competition uses the ANWRESH dataset selected from the 1930 US Census collection including word bounding box and field lexicon data. Five teams submitted systems for recognizing six fields including Surname, Given Name(s), Age, Birth Place, Marital Status, and Relation. Results are reported, along with brief descriptions of each system. |
Starting Page | 803 |
Ending Page | 808 |
File Size | 851799 |
Page Count | 6 |
File Format | |
ISBN | 9781479943357 |
ISSN | 21676445 |
e-ISBN | 9781479943340 |
DOI | 10.1109/ICFHR.2014.140 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-09-01 |
Publisher Place | Greece |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Hidden Markov models Handwriting recognition Training Automation Accuracy Image recognition Feature extraction ANWRESH handwriting recognition competition segmented word recognitition offline historical documents |
Content Type | Text |
Resource Type | Article |
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