ICFHR2014 Competition on Word Recognition from Historical Documents: ANncestry Word REcognition from Segmented Historical Documents (ANWRESH)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

fYear

2014

fDate

1-4 Sept. 2014

Firstpage

803

Lastpage

808

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This paper describes the ANWRESH (Anncestry Word Recognition from Segmented Historical Documents)competition held at the 14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014).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handwritten character recognition; word processing; ANWRESH dataset; ANncestry Word REcognition from Segmented Historical Documents; ICFHR2014 competition; handwriting recognition; historical documents; Accuracy; Automation; Feature extraction; Handwriting recognition; Hidden Markov models; Image recognition; Training; ANWRESH; handwriting recognition competition; historical documents; offline; segmented word recognitition;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on

Conference_Location

Heraklion

ISSN

2167-6445

Print_ISBN

978-1-4799-4335-7

Type

conf

DOI

10.1109/ICFHR.2014.140

Filename

6981119