TY  - CONF
AU  - A.Nicolaou
AU  - Andrew Bagdanov
AU  - Marcus Liwicki
AU  - Dimosthenis Karatzas
A2  - ICDAR
PY  - 2015//
TI  - Sparse Radial Sampling LBP for Writer Identification
BT  - 13th International Conference on Document Analysis and Recognition ICDAR2015
SP  - 716
EP  - 720
N2  - In this paper we present the use of Sparse Radial Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture classification. By adapting and extending the standard LBP operator to the particularities of text we get a generic text-as-texture classification scheme and apply it to writer identification. In experiments on CVL and ICDAR 2013 datasets, the proposed feature-set demonstrates State-Of-the-Art (SOA) performance. Among the SOA, the proposed method is the only one that is based on dense extraction of a single local feature descriptor. This makes it fast and applicable at the earliest stages in a DIA pipeline without the need for segmentation, binarization, or extraction of multiple features.
UR  - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7321714
L1  - http://refbase.cvc.uab.es/files/NBL2015.pdf
N1  - DAG; 600.077
ID  - A.Nicolaou2015
ER  -