PT Unknown
AU David Fernandez
   Pau Riba
   Alicia Fornes
   Josep Llados
TI On the Influence of Key Point Encoding for Handwritten Word Spotting
BT 14th International Conference on Frontiers in Handwriting Recognition
PY 2014
BP 476
EP 481
DI 10.1109/ICFHR.2014.86
DE Local descriptors; Interest points; Handwritten documents; Word spotting; Historical document analysis
AB In this paper we evaluate the influence of the selection of key points and the associated features in the performance of word spotting processes. In general, features can be extracted from a number of characteristic points like corners, contours, skeletons, maxima, minima, crossings, etc. A number of descriptors exist in the literature using different interest point detectors. But the intrinsic variability of handwriting vary strongly on the performance if the interest points are not stable enough. In this paper, we analyze the performance of different descriptors for local interest points. As benchmarking dataset we have used the Barcelona Marriage Database that contains handwritten records of marriages over five centuries.
ER