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| Petr Slavík, Venu Govindaraju, "Equivalence of Different Methods for Slant and Skew Corrections in Word Recognition Applications," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 3, pp. 323-326, March, 2001. | |||
| BibTex | x | ||
| @article{ 10.1109/34.910885, author = {Petr Slavík and Venu Govindaraju}, title = {Equivalence of Different Methods for Slant and Skew Corrections in Word Recognition Applications}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {23}, number = {3}, issn = {0162-8828}, year = {2001}, pages = {323-326}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.910885}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Equivalence of Different Methods for Slant and Skew Corrections in Word Recognition Applications IS - 3 SN - 0162-8828 SP323 EP326 EPD - 323-326 A1 - Petr Slavík, A1 - Venu Govindaraju, PY - 2001 KW - Image preprocessing KW - slant normalization KW - skew normalization KW - handwriting recognition. VL - 23 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
Abstract—Normalization of slant and skew is often used in processing a word image before recognition. In this paper, we prove the theoretical equivalence of different methods for slant and skew corrections. In particular, we show that correcting first for skew by rotation and then for slant by a shear transformation in the horizontal direction is equivalent to first correcting for slant by a shear transformation in the horizontal direction and then for skew by a shear transformation in the vertical direction. Our proof can be easily modified to prove equivalence of other methods for correcting the slant and skew.
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