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300,970
Handwritten Character Recognition
"... online handwritten character recognition, classifier, adaptation, Active-DTW ..."
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online handwritten character recognition, classifier, adaptation, Active-DTW
Handwritten Character Recognition
"... Handwritten Character Recognition is well known problem which has many real world applications. Many solutions have already been proposed using various techniques (neural networks, fuzzy rules etc.) over a period of time, but no one is able to achieve 100 percent accuracy rate. Involvement of variou ..."
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Handwritten Character Recognition is well known problem which has many real world applications. Many solutions have already been proposed using various techniques (neural networks, fuzzy rules etc.) over a period of time, but no one is able to achieve 100 percent accuracy rate. Involvement
Handwritten Character Recognition in Ancient Manuscripts
"... Abstract—The eigenface method is a technique that has been widely used for facial recognition algorithms. The method relies on the use of a one-dimensional Singular Value Decomposition (SVD), but recently it has been argued that a two dimensional SVD would be more effective. In this study, both meth ..."
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methods were applied to a handwritten character recognition problem. The two methods yielded similar accuracy rates, but in some applications the two-dimensional SVD may offer some computational advantages. Index Terms—Singular Value Decomposition, handwritten character recognition, Support Vector
Handwritten Character Recognition for Cheap
, 2002
"... We present an algorithm for on-line character recognition that is fast, portable, and consumes very little memory for code or data. ..."
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We present an algorithm for on-line character recognition that is fast, portable, and consumes very little memory for code or data.
Handwritten Character Recognition
, 2010
"... Touchpad based devices like phones and tablets are now ubiquitous and growing even more in popularity. Due to their form factors, however, otherwise standard means of input like keyboards are less effective ..."
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Touchpad based devices like phones and tablets are now ubiquitous and growing even more in popularity. Due to their form factors, however, otherwise standard means of input like keyboards are less effective
Perceptual Zoning for Handwritten Character Recognition
"... Abstract. Our study investigates the perceptual zoning mechanism for handwritten character recognition. This paper proposes a non-symmetrical zoning mechanism as the baseline feature extractor. Zoning is a method for local information analysis on partitions of a given pattern. So, the basic idea is ..."
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Abstract. Our study investigates the perceptual zoning mechanism for handwritten character recognition. This paper proposes a non-symmetrical zoning mechanism as the baseline feature extractor. Zoning is a method for local information analysis on partitions of a given pattern. So, the basic idea
Use of Splines in Handwritten Character Recognition
"... Abstract — Handwritten Character Recognition is software used to identify the handwritten characters and receive and interpret intelligible handwritten input from sources such as manuscript documents. The recent past several years has seen the development of many systems which are able to simulate t ..."
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Abstract — Handwritten Character Recognition is software used to identify the handwritten characters and receive and interpret intelligible handwritten input from sources such as manuscript documents. The recent past several years has seen the development of many systems which are able to simulate
Unconstrained handwritten character recognition using metaclasses of characters
- In Intl. Conf. on Image Processing
, 2005
"... In this paper we tackle the problem of unconstrained handwritten character recognition using different classification strategies. For such an aim, four multilayer perceptron classifiers (MLP) are built and used into three different classification strategies: combination of two 26– class classifiers; ..."
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Cited by 15 (1 self)
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In this paper we tackle the problem of unconstrained handwritten character recognition using different classification strategies. For such an aim, four multilayer perceptron classifiers (MLP) are built and used into three different classification strategies: combination of two 26– class classifiers
Metrics and Models for Handwritten Character Recognition
, 1997
"... A digitized handwritten numeral can be represented as a binary or greyscale image. An important pattern recognition task that has received much attention lately is to automatically determine the digit, given the image. While many different techniques have been pushed very hard to solve this task, ..."
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Cited by 30 (1 self)
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A digitized handwritten numeral can be represented as a binary or greyscale image. An important pattern recognition task that has received much attention lately is to automatically determine the digit, given the image. While many different techniques have been pushed very hard to solve this task
Neural based handwritten character recognition
- in Proc. 5th Int. Conf. Document Analysis and Recognition
, 1999
"... This paper explores the existing ring based [2], the new sector based and the combination of these, termed as Fusion method for the recognition of handwritten English capital letters. The variability associated with the characters is accounted for by way of considering a fixed number of concentric r ..."
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Cited by 2 (0 self)
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This paper explores the existing ring based [2], the new sector based and the combination of these, termed as Fusion method for the recognition of handwritten English capital letters. The variability associated with the characters is accounted for by way of considering a fixed number of concentric
Results 1 - 10
of
300,970
