Online handwritten character recognition for Malayalam

Sampath, Amritha; Tripti, C.; Govindaru, V

doi:10.1145/2393216.2393326

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Studies On Online Malayalam Character Recognition1

Introduction1

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2013

2022

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Cited by 5 publications

(2 citation statements)

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“…One of the major advantages of using SVM is that the training time required is very much less compared to that of HMM. Another approach based on 4 directional freeman chain coding was proposed in [28]. Starting from the point when first contact is made with the writing surface, direction in which the pen tip moves is recorded.…”

Section: Studies On Online Malayalam Character Recognitionmentioning

confidence: 99%

Handwritten Character Recognition in Malayalam Scripts – A Review

Chacko¹,

Dhanya²

2014

IJAIA

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Section: Studies On Online Malayalam Character Recognitionmentioning

confidence: 99%

Handwritten Character Recognition in Malayalam Scripts – A Review

Chacko¹,

Dhanya²

2014

IJAIA

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“…These kinds of systems having the main problem to perform the character separation for the documents or the text. The major applications of these kinds of identification system include signature verification [6], image to text conversion, etc.…”

Section: Introductionmentioning

confidence: 99%

An Ehanced Digical Character Recogniton using Art Network Classifier

Juneja¹,

Gill²

2013

IJCA

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Image Classification is one of the major applications of Image processing to place all the related images in a separate group. In some Recognition and Identification applications, Image classification is used to reduce the size of processing dataset. In this present work, the image classification is used to perform the digital character recognition. In this work, A Soft computing technique called Art Network is been implemented through the classification process. The work is divided into two main stages named Training and Recognition process. During the Training Phase, the input imageset is processed and divided in N Classes based upon the tolerance ratio. The Eligibility criterion to specific class is decided by Feature analysis over the image. In second stage, the feature extraction over the input image is performed and based on featured value; the related class is been identified. Now one-to-one comparison is performed on that class to identify the class on which comparison is performed. The effectiveness to the work is estimated based on matching ratio.

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