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A survey of methods and strategies in character segmentation

by Richard G. Casey, Eric Lecolinet - IEEE TRANSACTION ON PAMI , 1996
"... Character segmentation has long been a critical area of the OCR process. The higher recognition rates for isolated characters vs. those obtained for words and connected character strings well illustrate this fact. A good part of recent progress in reading unconstrained printed and written text may b ..."
Abstract - Cited by 212 (1 self) - Add to MetaCart
Character segmentation has long been a critical area of the OCR process. The higher recognition rates for isolated characters vs. those obtained for words and connected character strings well illustrate this fact. A good part of recent progress in reading unconstrained printed and written text may

urvey of Methods and Str in Character Segmentation

by Eric Lecolinet
"... Abstract-Character segmentation has long been a critical area of the OCR process. The higher recognition rates for isolated characters vs. those obtained for words and connected character strings well illustrate this fact. A good part of recent progress in reading unconstrained printed and written t ..."
Abstract - Add to MetaCart
Abstract-Character segmentation has long been a critical area of the OCR process. The higher recognition rates for isolated characters vs. those obtained for words and connected character strings well illustrate this fact. A good part of recent progress in reading unconstrained printed and written

A Review of Character Segmentation Methods

by Chirag Patel , Atul Patel , Dipti Shah , Ḃ Ȧ
"... Abstract Image to text conversion is the vital area of research for many years. Mainly, Optical Character Recognition (OCR) ..."
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Abstract Image to text conversion is the vital area of research for many years. Mainly, Optical Character Recognition (OCR)

Character Segmentation of Handwritten Document in Devnagari Script 1

by Vneeta Rani, Dr. Vijay Luxmi
"... Segmentation is a process to divide a complete document into small parts like paragraph into the lines, the line into words & word into characters. This process has used for removing the touching characters and lines. It has also used for removing the overlapped and broken characters. Segmentati ..."
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Segmentation is a process to divide a complete document into small parts like paragraph into the lines, the line into words & word into characters. This process has used for removing the touching characters and lines. It has also used for removing the overlapped and broken characters

Handwritten Character Segmentation Using Transformation-Based Learning

by E. Kavallieratou, E. Stamatatos, N. Fakotakis, G. Kokkinakis - In Proc. ICPR
"... This paper presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are used in order to extract automatically rules that detect the segment boundaries. Comparative experimental results are given ..."
Abstract - Cited by 8 (5 self) - Add to MetaCart
This paper presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are used in order to extract automatically rules that detect the segment boundaries. Comparative experimental results

An efficient character segmentation based on VNP algorithm

by S Chitrakala , S Chitrakala , Srivardhini Mandipati , S Preethi Raj , Gottumukkala Asisha - Research Journal of Applied Sciences, Engineering and Technology , 2012
"... Abstract: Character segmentation is an important preprocessing stage in image processing applications such as OCR, License Plate Recognition, electronic processing of checks in banks, form processing and, label and barcode recognition. It is essential to have an efficient character segmentation tec ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract: Character segmentation is an important preprocessing stage in image processing applications such as OCR, License Plate Recognition, electronic processing of checks in banks, form processing and, label and barcode recognition. It is essential to have an efficient character segmentation

Automatic Unsupervised Parameter Selection for Character Segmentation

by G. Vamvakas, N. Stamatopoulos, B. Gatos, S. J. Perantonis
"... A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations or after involving a training supervised phase which is a tedious process since the corresponding segmentation ground trut ..."
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truth has to be created. In this paper, we propose a novel automatic unsupervised parameter selection methodology that can be applied to the character segmentation problem. It is based on clustering of the entities obtained as a result of the segmentation for different values of the parameters involved

Camera-based Degraded Character Segmentation into Individual Components

by Faculté Polytechnique
"... In this article we present a novel fully automatic character segmentation for camera-based images. This is a top-down approach inspired by the human visual system: the high level step is based on color clustering while the low level one on the phase of Log-Gabor filters. First, this latter step deal ..."
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In this article we present a novel fully automatic character segmentation for camera-based images. This is a top-down approach inspired by the human visual system: the high level step is based on color clustering while the low level one on the phase of Log-Gabor filters. First, this latter step

An Effective Stochastic Estimation of Handwritten Character Segmentation Bounds

by M. Maragoudakis, E. Kavallieratou, N. Fakotakis, G. Kokkinakis
"... Abstract-- This paper studies with the use of Bayesian Belief Networks in order to improve the accuracy and training time of character segmentation for unconstrained handwritten text. Comparative experimental results have been evaluated against Naive Bayes classification, which is based on the assum ..."
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Abstract-- This paper studies with the use of Bayesian Belief Networks in order to improve the accuracy and training time of character segmentation for unconstrained handwritten text. Comparative experimental results have been evaluated against Naive Bayes classification, which is based

A simple method for displaying the hydropathic character of a protein

by Jack Kyte, Russell, F. Doolittle - Journal of Molecular Biology , 1982
"... A computer program that progressively evaluates the hydrophilicity and hydrophobicity of a protein along its amino acid sequence has been devised. For this purpose, a hydropathy scale has been composed wherein the hydrophilic and hydrophobic properties of each of the 20 amino acid side-chains is tak ..."
Abstract - Cited by 2287 (2 self) - Add to MetaCart
-chains is taken into consideration. The scale is based on an amalgam of experimental observations derived from the literature. The program uses a moving-segment approach that continuously determines the average hydropathy within a segment of predetermined length as it advances through the sequence
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