← Back to VOLUME 3, ISSUE 2, FEBRUARY 2014
This work is licensed under a Creative Commons Attribution 4.0 International License.
Review on Text Detection Methodology from Images
PROFESSOR LATIKA R.DESAI, MISS. POONAM B.KADAM, PROFESSOR SWATI SHINDE Dept of Computer Engineering, D.Y.P.I.E.T., Pimpri, Pune, India Dept of Computer Engineering, D.Y.P.I.E.T., Pimpri, Pune, India Dept of Computer Engineering, K. J. S. I. E.I. T, Sion
Downloads: Download PDF
π 47 viewsπ₯ 1 download
Abstract: Texts in an image directly carry high-level semantic information about a scene, which can be used to assist a wide variety of applications, such as image understanding, image search and indexing, navigation, and human computer interaction. However, lot of existing text detection and recognition systems are considered for horizontal or near- horizontal texts. With the increasingly popular computing on the go devices, detecting texts of random orientations from images taken by such devices under less controlled conditions has become an increasingly important and yet challenging task. Different techniques have been proposed to address this problem, and to classify and review these related algorithms. This paper gives detail explanation of work done for automatically detection of text from images, localize and extract text in images having complex backgrounds.
Keyword: text extraction, text detection, segmentation.
Keyword: text extraction, text detection, segmentation.
How to Cite:
[1] PROFESSOR LATIKA R.DESAI, MISS. POONAM B.KADAM, PROFESSOR SWATI SHINDE Dept of Computer Engineering, D.Y.P.I.E.T., Pimpri, Pune, India Dept of Computer Engineering, D.Y.P.I.E.T., Pimpri, Pune, India Dept of Computer Engineering, K. J. S. I. E.I. T, Sion, βReview on Text Detection Methodology from Images,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.