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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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Characters Link Shots: Character Attention Network for Movie Scene Segmentation
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023Movie scene segmentation aims to automatically segment a movie into multiple story units, i.e., scenes, each of which is a series of semantically coherent and time-continual shots. Previous methods have continued efforts on shot semantic association, but few take into account the impact of different semantics on foreground characters and background ...
Jiawei Tan, Hongxing Wang, Junsong Yuan
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Offline Character recognition on Segmented Handwritten Kannada Characters
2019 Global Conference for Advancement in Technology (GCAT), 2019Optical character recognition (OCR) is the conversion of pictures of typed or handwritten characters into machine encoded characters. We chose to work on a subfield of OCR, namely offline learning of handwritten characters. Kannada script is agglutinative, where simple shapes are concatenated horizontally to form words.
Kevin George Joe +2 more
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Character segmentation algorithms for Kannada optical character recognition
2008 International Conference on Wavelet Analysis and Pattern Recognition, 2008In this paper we discuss various character segmentation algorithms for Kannada scripts. Kannada is one of the south Indian language which has 16 vowels and 34 consonants as the basic alphabet of the language. Segmentation algorithms are constructed after the deep study of peculiarities of the individual characters of Kannada.
B.M. Sagar +2 more
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Printed Arabic optical character segmentation
SPIE Proceedings, 2015A 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 +3 more
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Character Segmentation and Recognition
2014This 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 +3 more
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