Гонсалес Р., Вудс Р. Цифровая обработка изображений. – М.: Техносфера, 2012. – 1104 с

Шапиро Л., Стокман Дж. Компьютерное зрение. – М.: Бином. Лаборатория знаний, 2006. – 752 с

Otsu N. A threshold selection method from gray-level histograms //IEEE Trans. Systems Man Cybernet., Vol. 9 (1), 1979, pp. 62-66

Yan H. Unified formulation of a class of image thresholding techniques //Pattern Recognition, Vol. 29 (12), 1996, pp. 2025-2032

Ntir ogiannis K., Gatos B., Pr atikakis I. A performance evaluation methodology for historical document image binarization //IEEE Transactions on Image Processing, Vol. 22, 2013, pp. 595-609

Yang Y., Yan H. An adaptive logical method for binarization of degraded document images //Pattern Recognition Letter, Vol. 33, 2012, pp. 787-807

Bataineh B., Abdullah S., Omar K. An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows //Pattern Recognition Letter, Vol. 32, 2011, pp. 1805-1813.

Мандель И. Д. Кластерный анализ. – М.: Финансы и Статистика, 1988. – С.176

Дюран Б., Оделл П. Кластерный анализ. – М.: Статистика, 1977. – С.128.

Bar - Yosef I., Hagbi N., Kedem K., Dinstein I. Line segmentation for degraded handwritten historical documents // Proc. 10th Int‘l Conf. Document Analysis and Recognition, 2009, pp. 1161–1165.

Li Y., Zheng Y., Doermann D., Jaeger S. Script independent text line segmentation in freestyle handwritten documents // Pattern Analysis and Machine Intelligence, IEEE Transactions on, 30, 8, 2008, pp. 1313-1329

Likfor man - Sulem L., Hanimyan A., Faur e C. A Hough based algorithm for extracting text lines in handwritten documents // Proc. of the 3rd Int’l Conf. on Document Analysis and Recognition, 1995, 2, pp. 774-777

Likfor man - Sulem L., Zahour A., Taconet B. Text line segmentation of historical documents: a survey // Int’l Journal of Document Analysis and Recognition (IJDAR), 9, 2-4, 2007, pp. 123-138

Kim G., Govindar aju V., Sr ihari S.N. An architecture for handwritten text recognition systems // Int’l Journal on Document Analysis and Recognition, 2, 1, 1999, pp. 37-44

Likfor man - Sulem L., Faur e C. Extracting text lines in handwritten documents by perceptual grouping //Advances in handwriting and drawing: a multidisciplinary approach, 1994, Europia, Paris, pp. 117-135

Nakajima Y., Mori S., Takegami S., Sato S. Global methods for stroke segmentation // Int’l Journal on Document Analysis and Recognition, 1999, 2, 1, pp. 19-23

Manmatha R., Srimal N. Scale space technique for word segmentation in handwritten documents //Scale-Space Theories in Computer Vision, 1999, Springer, pp. 22-33

Huang Chen and Srihari S.N. Word segmentation of off-line handwritten documents //Electronic Imaging 2008 (International Society for Optics and Photonics), (68150E–68150E), 2008

Schlapbach A., Bunke H. Writer Identification Using an HMM-Based Handwriting Recognition System: To Normalize the Input or Not? // In: Proceedings of the 12th conference of the international graphonomics society, pp 138–142.

Местецкий Л.М. Непрерывная морфология бинарных изображений. Фигуры. Скелеты. Циркуляры. – М.: ФИЗМАТ-ЛИТ, 2009. – 287 с

Zhang T., Suen C. A fast parallel algorithm for thinning digital patterns //Communications of the ACM, Vol.27 (3), 1984, pp. 236-239.

Wu R.- Y., Tsai W. - H. A new one-pass parallel thinning algorithm for binary images //Pattern Recognition Letters, Vol.13 (10), 1992, pp. 715-723

Kavallier atou E., Liolios N., Koutsogeor gos E., Fakotakis N., Kokkinakis G. The GRUHD database of Greek unconstrained handwriting //In Proc. of the 6th International Conference on Document Analysis and Recognition, 2001, pp. 561-565

Likfor man - Sulem L., Zahour A., Taconet B. Text line segmentation of historical documents: a survey // Int’l Journal of Document Analysis and Recognition (IJDAR), 9, 2-4, 2007, pp. 123-138.