Performance Analysis of BAM and BPN for Character Recognition - Softcover

Tarafder, Md. Mainur Rahman

Softcover

ISBN 10: 365962330X ISBN 13: 9783659623301

Verlag: LAP LAMBERT Academic Publishing, 2017

Inhaltsangabe

The Overall research work contains a number of procedural steps. Such as converting a black and white image to grayscale and various image processing steps, learning a pattern using Back-propagation Neural Network (BPN) and Bidirectional Associative Memory (BAM) recognize a existing or non-existing pattern from the learned pattern using BAM and BPN technique. All the steps of image processing and feature detection steps are performed and coded by the programming language Matlab provided by the Matwork Inc. Primary operation of Matlab is to acquire an image from the storage disk which is stored in a specific format and process the image. One of the most important factors of the research work is Feature Extraction which is implemented by Matlab. Then the processed pattern is stored in a file such that the file can be processed by another procedure. In pattern learning BPN and BAM is used. The parameters of the learning algorithm are varied and observed the nature of the system. From pattern learning, we get a weight set and correlation matrix which is used in recognition. The recognition part, the results from learning algorithm are used to math the unknown input.

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Über die Autorin bzw. den Autor

Md. Mainur Rahman Tarafder, MIEB, FBCS, MIEOM; S.S.C 1st class with star marks(82.1%); H.S.C 1st class with star marks(77.7%); B. Sc. Engineering in Computer Science & Engineering (RUET); Master of Engineering in Information and Communication Technology (IICT, BUET); Assistant Manager(Software (SCMS)), IT, IPI.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 365962330X
• ISBN 13: 9783659623301
• Einband: Taschenbuch
• Anzahl der Seiten: 84
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Betascript Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland