Journal ArticleDOI
Recognizing characters in scene images
J. Ohya,A. Shio,S. Akamatsu +2 more
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TLDR
An effective algorithm for character recognition in scene images is studied and highly promising experimental results have been obtained using the method on 100 images involving characters of different sizes and formats under uncontrolled lighting.Abstract:
An effective algorithm for character recognition in scene images is studied. Scene images are segmented into regions by an image segmentation method based on adaptive thresholding. Character candidate regions are detected by observing gray-level differences between adjacent regions. To ensure extraction of multisegment characters as well as single-segment characters, character pattern candidates are obtained by associating the detected regions according to their positions and gray levels. A character recognition process selects patterns with high similarities by calculating the similarities between character pattern candidates and the standard patterns in a dictionary and then comparing the similarities to the thresholds. A relaxational approach to determine character patterns updates the similarities by evaluating the interactions between categories of patterns, and finally character patterns and their recognition results are obtained. Highly promising experimental results have been obtained using the method on 100 images involving characters of different sizes and formats under uncontrolled lighting. >read more
Citations
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Text information extraction in images and video: a survey
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Camera-based analysis of text and documents: a survey
TL;DR: A survey of application domains, technical challenges, and solutions for the analysis of documents captured by digital cameras, and some sample applications under development and feasible ideas for future development is presented.
Proceedings ArticleDOI
ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images
TL;DR: An overview of the approaches that the participants used, the evaluation measure, and the dataset used in the ICDAR 2011 Robust Reading Competition for detecting/recognizing text in natural scene images is presented.
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Locating text in complex color images
Yu Zhong,Kalle Karu,Anil K. Jain +2 more
TL;DR: Two methods for automatically locating text in complex color images that computes the local spatial variation in the gray-scale image, and locates text in regions with high variance are presented.
References
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C.K. Chow,T. Kaneko +1 more
TL;DR: Experimental results on cardioangiograms are presented to successfully demonstrate the feasibility of the threshold method to detect boundaries in radiographic images, which is insensitive to shading or gradually varying interference.
Journal ArticleDOI
A spatial thresholding method for image segmentation
Kanti V. Mardia,T.J. Hainsworth +1 more
TL;DR: It is found that an algorithm using alternating mean thresholding and median filtering provides an acceptable method when the image is relatively highly contaminated, and seems to depend less on initial values than other procedures.