@conference {13615,
	title = {Offline Writer Identification using K-Adjacent Segments},
	booktitle = {International Conference on Document Analysis and Recognition},
	year = {2011},
	month = {2011///},
	pages = {769 - 773},
	abstract = {This paper presents a method for performing offline writer identification by using K-adjacent segment (KAS) features in a bag-of-features framework to model a user{\textquoteright}s handwriting. This approach achieves a top 1 recognition rate of 93\% on the benchmark IAMEnglish handwriting dataset, which outperforms current state of the art features. Results further demonstrate that identification performance improves as the number of training samples increase, and additionally, that the performance of the KAS features extend to Arabic handwriting found in the MADCAT dataset.},
	author = {Jain,Rajiv and David Doermann}
}
