Results 221 to 230 of about 14,029 (259)

Customer segmentation based on survival character

Journal of Intelligent Manufacturing, 2007
Customer Segmentation is an increasingly pressing issue in today’s over-competitive commercial area. More and more literatures have researched the application of data mining technology in customer segmentation, and achieved sound effectives. But most of them segment customer only by single data mining technology from a special view, rather than from ...
Yun Chen, Guozheng Zhang, Dengfeng Hu, Chuan Fu   +3 more
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Character Segmentation and Recognition

2014
This chapter presents methods for character segmentation from text lines and recognition of video characters. It is noted that character segmentation from video text lines detected by video text detection method is not as easy as segmenting characters from scanned document images due to low resolution and complex background of video.
Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu   +3 more
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Segmentation of touching and fused Devanagari characters

Pattern Recognition, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Veena Bansal, R. M. K. Sinha
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Dotted and curved line character segmentation

SPIE Proceedings, 2011
This paper presents new methodology for addressing curvature and segmentation in text as applied to dotted line images. Several improvements are provided, including methods and procedures for handling (a) curvature in text detection and segmentation, (b) rotation angle determinations, (c) isolation of only the character pixels in the image, (d) use ...
Khader Mohammad, Sos S. Agaian, Hani Saleh   +2 more
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An Automatic Method for Video Character Segmentation

2008
This paper presents an automatic segmentation system for characters in text color images cropped from natural images or videos based on a new neuronal architecture insuring fast processing and robustness against noise, variations in illumination, complex background and low resolution.
Zohra Saidane, Christophe Garcia
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Touching character segmentation of Devanagari script

Proceedings of the 7th International Conference on Computing Communication and Networking Technologies, 2016
Segmentation of characters is one of the major step in OCR system. Devanagari script is a two dimensional form of symbol. It is very inconvenient to treat each form of character as a separate symbol because such combinations are very large in number. Segmentation is a process which separates words into characters.
Subith Babu, Mahesh Jangid
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Vehicle license plate character segmentation

International Journal of Automation and Computing, 2008
Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS). This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP images. Auxiliary lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese ...
Mei-Sen Pan, Jun-Biao Yan, Zheng-Hong Xiao   +2 more
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Segmentation of touching characters using an MLP

Pattern Recognition Letters, 1998
Summary: We propose a method of character extraction from documents in which both Hangul (Korean characters) and alphanumeric characters are written. In order to ensure accurate segmentation of touching characters, character segmentation and recognition are performed by turns.
Jin Hak Bae, Keechul Jung, Jin Wook Kim, Hang Joon Kim   +3 more
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Printed Arabic optical character segmentation

SPIE Proceedings, 2015
A considerable progress in recognition techniques for many non-Arabic characters has been achieved. In contrary, few efforts have been put on the research of Arabic characters. In any Optical Character Recognition (OCR) system the segmentation step is usually the essential stage in which an extensive portion of processing is devoted and a considerable ...
Khader Mohammad, Muna Ayyesh, Aziz Qaroush, Iyad Tumar   +3 more
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Chinese Word Segmentation with Character Abstraction

2013
Chinese word segmentation is an important and necessary problem to analyze Chinese texts. In this paper, we focus on the primary challenges in Chinese word segmentation: low accuracy of out-of-vocabulary word. To resolve this difficult problems, we group the “similar” characters to generate more abstract representation.
Le Tian 0003, Xipeng Qiu, Xuanjing Huang 0001   +2 more
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