TY  - CONF
AU  - Alicia Fornes
AU  - Volkmar Frinken
AU  - Andreas Fischer
AU  - Jon Almazan
AU  - G. Jackson
AU  - Horst Bunke
A2  - HIP
PY  - 2011//
TI  - A Keyword Spotting Approach Using Blurred Shape Model-Based Descriptors
BT  - Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
SP  - 83
EP  - 90
PB  - ACM
N2  - The automatic processing of handwritten historical documents is considered a hard problem in pattern recognition. In addition to the challenges given by modern handwritten data, a lack of training data as well as effects caused by the degradation of documents can be observed. In this scenario, keyword spotting arises to be a viable solution to make documents amenable for searching and browsing. For this task we propose the adaptation of shape descriptors used in symbol recognition. By treating each word image as a shape, it can be represented using the Blurred Shape Model and the De-formable Blurred Shape Model. Experiments on the George Washington database demonstrate that this approach is able to outperform the commonly used Dynamic Time Warping approach.
SN  - 978-1-4503-0916-5
UR  - http://dx.doi.org/10.1145/2037342.2037356
N1  - DAG
ID  - Alicia Fornes2011
ER  -