Open AccessThis article is
- freely available
On Using Entropy for Enhancing Handwriting Preprocessing
Research Unit Human-Computer Interaction, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, A-8036 Graz, Austria
Softnet Austria, Infeldgasse 16b, A-8010 Graz, Austria
* Author to whom correspondence should be addressed.
Received: 21 July 2012; in revised form: 7 November 2012 / Accepted: 13 November 2012 / Published: 19 November 2012
Abstract: Handwriting is an important modality for Human-Computer Interaction. For medical professionals, handwriting is (still) the preferred natural method of documentation. Handwriting recognition has long been a primary research area in Computer Science. With the tremendous ubiquity of smartphones, along with the renaissance of the stylus, handwriting recognition has become a new impetus. However, recognition rates are still not 100% perfect, and researchers still are constantly improving handwriting algorithms. In this paper we evaluate the performance of entropy based slant- and skew-correction, and compare the results to other methods. We selected 3700 words of 23 writers out of the Unipen-ICROW-03 benchmark set, which we annotated with their associated error angles by hand. Our results show that the entropy-based slant correction method outperforms a window based approach with an average precision of ±6.02° for the entropy-based method, compared with the ±7.85° for the alternative. On the other hand, the entropy-based skew correction yields a lower average precision of ±2:86°, compared with the average precision of ±2.13° for the alternative LSM based approach.
Keywords: entropy; handwriting recognition; point cloud data; preprocessing
Citations to this Article
Cite This Article
MDPI and ACS Style
Holzinger, A.; Stocker, C.; Peischl, B.; Simonic, K.-M. On Using Entropy for Enhancing Handwriting Preprocessing. Entropy 2012, 14, 2324-2350.
Holzinger A, Stocker C, Peischl B, Simonic K-M. On Using Entropy for Enhancing Handwriting Preprocessing. Entropy. 2012; 14(11):2324-2350.
Holzinger, Andreas; Stocker, Christof; Peischl, Bernhard; Simonic, Klaus-Martin. 2012. "On Using Entropy for Enhancing Handwriting Preprocessing." Entropy 14, no. 11: 2324-2350.