Skew detection and correction based on Hough Transform and Harris Corners

被引：0
|
作者：
Gari, Ahmed [1 ]
Khaissidi, Ghizlane [1 ]
Mrabti, Mostafa [1 ]
Chenouni, Driss [1 ]
El Yacoubi, Mounim [2 ]
机构：
[1] ENS, LIPI, Lab Informat & Interdisciplinary Phys, Fes, Morocco
[2] TELECOM SUDPARIS, EPH, Intermedia Lab Elect & Phys, Paris, France
来源：
2017 INTERNATIONAL CONFERENCE ON WIRELESS TECHNOLOGIES, EMBEDDED AND INTELLIGENT SYSTEMS (WITS) | 2017年
关键词：
Blind and visually impaired people; Detection and correction of inclination; Harris Corner features; Hough Transform;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Skew angle detection is one of the most important component of Optical Characters Recognition (OCR) systems and documents analysis. Taking documents by the blind and visually impaired people with a mobile phone always have a degree of inclination. In this paper, a novel and an efficient method based on extraction of Harris corner features points and Hough transform is presented to estimate skew angle of printed documents. A comparative study using the ICDAR2015 database with the wellknown methods in literature, shown the effectiveness and the performance of the proposed algorithm.
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页数：4
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