Text extraction is one of the key tasks in document image analysis. Automatic text extraction without characters recognition capabilities is to extract regions just contains text. The text extraction process includes detection, localization, segmentation and enhancement of the text from the given input image. In this paper we present a comparative study and performance evaluation of various text extraction techniques.
Text Extraction, Document Text Images, Heterogeneous Images, OCR, Text Detection
 Y. Zhan, W. Wang, W. Gao (2006), “A Robust Split-And-Merge Text Segmentation Approach For Images”, International Conference On Pattern Recognition,06(2):pp 1002-1005.
 Thai V. Hoang , S. Tabbone(2010),“Text Extraction From Graphical Document Images Using Sparse Representation”in Proc. Das, pp 143–150.
 Sumathi, C. P., Santhanam, T., & Devi, G. G. (2012). A survey on various approaches of text extraction in images. International journal of computer science and engineering survey, 3(4), 27.
 Leon, M., Vilaplana, V., Gasull, A., & Marques, F. (2009, November). Caption text extraction for indexing purposes using a hierarchical region-based image model. In 2009 16th IEEE International Conference on Image Processing (ICIP) (pp. 1869-1872). IEEE.
 Takahashi, H., & Nakajima, M. (2005, July). Region graph based text extraction from outdoor images. In Third International Conference on Information Technology and Applications (ICITA'05) (Vol. 1, pp. 680-685). IEEE.
 Liu, X., &Samarabandu, J. (2006, July). Multiscale edge-based text extraction from complex images. In 2006 IEEE International Conference on Multimedia and Expo (pp. 1721-1724). IEEE.
 Liu, X., &Samarabandu, J. (2005, July). An edge-based text region extraction algorithm for indoor mobile robot navigation. In IEEE International Conference Mechatronics and Automation, 2005 (Vol. 2, pp. 701-706). IEEE.
 Jung, K., & Han, J. (2004). Hybrid approach to efficient text extraction in complex color images. Pattern Recognition Letters, 25(6), 679-699.
 Okun, O., &Pietikäinen, M. (2000). A survey of texture-based methods for document layout analysis. In Texture Analysis in Machine Vision (pp. 165-177).
[Ojas Kumar Barawal (2022) Text Extraction from Image IJIREM Vol-9 Issue-3 Page No-89-92] (ISSN 2350 - 0557). www.ijirem.org
Ojas Kumar Barawal
Department of Computer Science & Engineering, Amity University, Haryana, India