Results 211 to 220 of about 14,029 (259)
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Segmenting merged characters

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.
Thomas Bayer   +2 more
openaire   +1 more source

ALPR character segmentation algorithm

2018 IEEE 9th Latin American Symposium on Circuits & Systems (LASCAS), 2018
This 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 ...
Ariel Oroz De Gaetano   +2 more
openaire   +1 more source

Strategies in character segmentation: a survey

Proceedings of 3rd International Conference on Document Analysis and Recognition, 2002
This paper provides a review of advances in character segmentation. Segmentation methods are listed under four main headings. The operation of attempting to decompose the image into classifiable units on the basis of general image features is called "dissection".
Richard G. Casey, Eric Lecolinet
openaire   +1 more source

Word and Character Segmentation

2021
In 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
openaire   +1 more source

Character recognition without segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
A 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 ...
Jairo Rocha, Theodosios Pavlidis
openaire   +1 more source

Segmentation of Arabic Characters

International Journal of Technology Diffusion, 2011
The 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
openaire   +1 more source

A hybrid approach to character segmentation of gurmukhi script characters

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings., 2004
A new approach to segmentation of machine printed Gurmukhi text has been suggested. This approach can easily be extended to other Indian language scripts such as Devnagri and Bangla. Most of the characters in these scripts have horizontal lines at the top called headlines.
Neena Madan Davessar   +2 more
openaire   +1 more source

Character Image Segmentation

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
openaire   +1 more source

On the segmentation of touching characters

Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 2002
In many OCR systems, character segmentation is a necessary preprocessing step for character recognition. It is a critical step because incorrectly segmented characters are not likely to be correctly recognized. The most difficult cases in character segmentation are broken characters and touching characters. The problem of segmenting touching characters
openaire   +1 more source

A Character Segmentation Method without Character Verification

2008 International Symposium on Intelligent Information Technology Application Workshops, 2008
Nowadays 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
openaire   +1 more source

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