Title :
ICFHR2014 Competition on Word Recognition from Historical Documents: ANncestry Word REcognition from Segmented Historical Documents (ANWRESH)
Author :
Reese, Jackson ; Murdock, Michael ; Reid, Shawn ; Hamilton, Blaine
Author_Institution :
Content Syst. Group, Ancestry.com, Provo, UT, USA
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This paper describes the ANWRESH (Anncestry Word Recognition from Segmented Historical Documents)competition held at the 14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014).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.
Keywords :
handwriting recognition; handwritten character recognition; word processing; ANWRESH dataset; ANncestry Word REcognition from Segmented Historical Documents; ICFHR2014 competition; handwriting recognition; historical documents; Accuracy; Automation; Feature extraction; Handwriting recognition; Hidden Markov models; Image recognition; Training; ANWRESH; handwriting recognition competition; historical documents; offline; segmented word recognitition;
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location :
Heraklion
Print_ISBN :
978-1-4799-4335-7
DOI :
10.1109/ICFHR.2014.140
