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Static Signature Recognition Using Morphology (Paperback)

Vinayak Bharadi, Hemchandra Kekre, Amol Ambardekar

ISBN 10: 3848421844 / ISBN 13: 9783848421848
Editorial: LAP Lambert Academic Publishing, Germany, 2012
Nuevos Condición: New Encuadernación de tapa blanda
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Descripción

Language: English. Brand new Book. Morphology is the study of external features of an object. In image processing we use the morphological features based on the shape of the object, from this a template is created and used for matching purpose. We have applied this approach for the problem of handwritten signature recognition. The static signature recognition is simple and cost effective and as large number of commercial transactions are still done on paper, handwritten signatures are widely used for authorization of the documents. Hence the static signature recognition is an important aspect of document authorization using biometric authentication. Static signature is captured from the paper using image scanner, we have only static information such as shape, strokes, orientation available with us. We use techniques based on morphological operations such as erosion, dilation to generate the template and measure the authenticity of the signature. N° de ref. de la librería KNV9783848421848

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Detalles bibliográficos

Título: Static Signature Recognition Using ...

Editorial: LAP Lambert Academic Publishing, Germany

Año de publicación: 2012

Encuadernación: Paperback

Condición del libro: New

Edición: Aufl.

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Reseña del editor:

Morphology is the study of external features of an object. In image processing we use the morphological features based on the shape of the object, from this a template is created and used for matching purpose. We have applied this approach for the problem of handwritten signature recognition. The static signature recognition is simple and cost effective and as large number of commercial transactions are still done on paper, handwritten signatures are widely used for authorization of the documents. Hence the static signature recognition is an important aspect of document authorization using biometric authentication. Static signature is captured from the paper using image scanner, we have only static information such as shape, strokes, orientation available with us. We use techniques based on morphological operations such as erosion, dilation to generate the template and measure the authenticity of the signature.

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