CharacterRecognitionwithANN.zip_ANN资源-CSDN文库

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Character Recognition with ANN.zip （5个子文件）

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CharacterRecognition_ANN-master

Backpropagation.m 8KB

CHARACTER RECOGNITION USING NEURAL NETWORKS.pptx 1.61MB

original-letter-recognition.csv 715KB

DatasetPartition.m 242B

CharRecDTree.m 3KB

CHARACTER RECOGNITION USING

NEURAL NETWORKS

PresentedBy:

AkashMohapatra

SouravChakraborty

RajaMummidi

LataYadav

Outline

 IntroductiontoCharacterRecognition

 Whyusingneuralnetworks?

 ProposedModel

 DataSetUsedforCharacterRecognition

 CaseStudy

 BackpropagationAlgorithm

 Feed-ForwardNeuralNetwork

 TrainingofNeuralNetwork

 Results

 PerformanceAnalysis

 WherecanweuseCharacterRecognition?

 FutureScope

CharacterRecognition:Introduction

• Convertingtheimageobtainedbyscanningatextoradocument

intomachineeditableformat.

• Difficult&challengingcomputationprocess

Whyusingneuralnetworks?

• HumanMind–Deciphercharacterseasily,accurately&Speedily

(PresenceofdenselyNeuralNetworksinhismind)

• HumanEyes-OpticalMechanism

• HumanBrain-Seesinput–Comprehendsignals–Adaptiveto

minorchangesanderrorsinvisualpatterns

• HumanVisionSystem–learnsfromexperience

Backpropagationartificialmulti-layerneuralnetwork

• InspiredbyBiologicalnervoussystem:"justlikethebrain"

• Improvequalityofrecognition(comparablyhighaccuracylevels)

• Efficientandfastinsolvingfuzzy,extremelycomplexproblems

thatdon'tyieldtotraditionalalgorithmicapproaches

ProposedModel

• RecognitionofEnglishcharactersandvariationsfromasample

setofpatternsviaANNandBackpropagationalgorithm

(ImplementationinMATLAB)

• Performanceanalysisusingvariousclassificationalgorithmslike

KNN&Decisiontree

InputMatrix

• DataSet

Training

• ArtificialNeuralNetworks

• BackpropagationAlgorithm

Output

• 26alphabets

• PerformanceAnalysis

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