Entropy 2012, 14(11), 2324-2350; doi:10.3390/e14112324

On Using Entropy for Enhancing Handwriting Preprocessing

1,* email, 1email, 2email and 1email
Received: 21 July 2012; in revised form: 7 November 2012 / Accepted: 13 November 2012 / Published: 19 November 2012
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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
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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.

AMA Style

Holzinger A, Stocker C, Peischl B, Simonic K-M. On Using Entropy for Enhancing Handwriting Preprocessing. Entropy. 2012; 14(11):2324-2350.

Chicago/Turabian Style

Holzinger, Andreas; Stocker, Christof; Peischl, Bernhard; Simonic, Klaus-Martin. 2012. "On Using Entropy for Enhancing Handwriting Preprocessing." Entropy 14, no. 11: 2324-2350.

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