@inproceedings{1b4637d0664a4271a07ab69d40decc51,
title = "A new approach for adjusting braille image skewness in optical braille recognition",
abstract = "Braille recognition is the ability to recognize Braille cells in Braille images. The result will be used in several applications such as Braille translating, Braille copying...etc. However, the performance of these applications will be affected by some factors such as skew of Braille documents through the scanning or embossing. In this work, we designed a new approach for adjusting Braille image skewness. This approach is summarized in three steps: (1) A Braille image is segmented by estimated thresholds values which are resulting from Beta distribution, (2) simple Braille cells are detected by using morphological operations; and (3) the rotation angle of Braille image is estimated by calculating the median of slope angles of all straight lines that pass through any three dots of detected Braille cells. The proposed method is tested on several Braille images. Results demonstrated that the method is able to adjust the skewed Braille images accurately.",
keywords = "Braille cell, Braille image, Braille recognition, recto dot, skewness, slope angle, verso dot",
author = "Al-Salman, \{Abdul Malik S.\} and Ali El-Zaart and Abdu Gomai",
year = "2011",
doi = "10.1007/978-3-642-22170-5\_63",
language = "English",
isbn = "9783642221699",
series = "Communications in Computer and Information Science",
number = "PART 1",
pages = "735--746",
booktitle = "Software Engineering and Computer Systems - Second International Conference, ICSECS 2011, Proceedings",
edition = "PART 1",
note = "2nd International Conference on Software Engineering and Computer Systems, ICSECS 2011 ; Conference date: 27-06-2011 Through 29-06-2011",
}