Results 221 to 230 of about 149,894 (279)
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Machine printed character segmentation —; An overview
Pattern Recognition, 1995Abstract This paper is part I of a two-part review series. We present here an overview of the character segmentation techniques in machine-printed documents. So far, as to this point, in most Optical Character Recognition (OCR) systems, either commercial products or systems described in the published literature, recognition algorithms are developed ...
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Word and Character Segmentation
2021In the previous chapter, the methods for text detection from natural scene and video image are discussed. To recognize text, the methods require characters. Therefore, this chapter focuses on word and character segmentation based on the space between words and characters.
Palaiahnakote Shivakumara, Umapada Pal
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SPIE Proceedings, 1984
In the Optical Character Reader (OCR) system design, the character segmentation technique is important. For example, the Automatic Mail Address Reader is required to manage printed characters of many font types and poor print quality. In this case, OCR performance will be affected by character segmentation technique.
Yoshitake Tsuji, Ko Asai
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In the Optical Character Reader (OCR) system design, the character segmentation technique is important. For example, the Automatic Mail Address Reader is required to manage printed characters of many font types and poor print quality. In this case, OCR performance will be affected by character segmentation technique.
Yoshitake Tsuji, Ko Asai
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Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems, 2003
In optical character recognition (OCR) and document analysis many errors are not caused by inadequate classifier power, but by segmentation errors. Besides broken characters, merged characters constitute the major remaining problem. This paper presents an efficient method for segmenting merged characters.
T. Bayer, U. Kressel, M. Hammelsbeck
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In optical character recognition (OCR) and document analysis many errors are not caused by inadequate classifier power, but by segmentation errors. Besides broken characters, merged characters constitute the major remaining problem. This paper presents an efficient method for segmenting merged characters.
T. Bayer, U. Kressel, M. Hammelsbeck
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A Character Segmentation Method without Character Verification
2008 International Symposium on Intelligent Information Technology Application Workshops, 2008Nowadays many digital watermarking schemes have been proposed to protect paper-based documents, in which character segmentation is important in both embedding and detecting processes. However, considering the time/cost consuming, the current character segmentation methods used in OCR (optical character recognition) are not suitable for this purpose. In
Wenfa Qi, Xiaolong Li, Bin Yang
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ALPR character segmentation algorithm
2018 IEEE 9th Latin American Symposium on Circuits & Systems (LASCAS), 2018This work presents a character segmentation algorithm for Argentine license plates based on image projection and its respective minima processing to determine the location of each character coordinates. Its tested implementation in C++ achieves a 96.49% success rate on a database of 3023 licenses, taking an average of 6.6 ms for a complete license ...
Oroz De Gaetano Ariel +2 more
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Character recognition without segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995A segmentation-free approach to OCR is presented as part of a knowledge-based word interpretation model. It is based on the recognition of subgraphs homeomorphic to previously defined prototypes of characters. Gaps are identified as potential parts of characters by implementing a variant of the notion of relative neighborhood used in computational ...
J. Rocha, T. Pavlidis
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Segmentation of Arabic Characters
International Journal of Technology Diffusion, 2011The cursive nature of Arabic writing is the main challenge to Arabic Optical Character Recognition developer. Methods to segment Arabic words into characters have been proposed. This paper provides a comprehensive review of the methods proposed by researchers to segment Arabic characters.
Ahmed M. Zeki +2 more
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Chinese Character Segmentation Using The Character-Gap Feature
SPIE Proceedings, 1986Machine recognition and generation of Chinese characters has been a challenging research subject due to the structural complexity of the characters. There are about 40,000 Chinese characters in total and about 5,000 in daily use. An exhaustive approach to recognizing or generating all Chinese characters is almost infeasible in practice.
Bor-Shenn Jeng, Chih- Heng Lin
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