SIGNATURE RECOGNITION SYSTEM
MALLIREDDY BHAVANA
, BUDURU JAHNAVI REDDY , MALLIREDDY JAHNAVI , P.DEEPA , Santhosh Kumar.P
Line signature, Biometric, Image processing, Pixels, Signature verification ,Forgery.
Handwritten Signature Recognition is a significant behavioral biometric which is utilized for multiple identification and authentication applications. Online and offline are the two main ways to recognize signatures. Online recognition is a dynamic process that takes into account factors like writing speed, While writing the signature, the stylus's direction and the quantity of pen ups and downs alter. Offline signature recognition is a static process in which the author of a signature is anticipated based on the properties of the signature and treated as an image. The current approach to off-line signature recognition primarily uses template matching, which compares a test image to a number of specimen images to infer who signed the document. While using this, a lot of memory is required.With a small number of training signature samples, this study aims to achieve high accuracy multi-class categorization. Using a variety of image processing techniques, images are preprocessed to separate the signature pixels from the background/noise pixels
Volume 11
Issue 2,
February-2024
Pages : 118-124
Paper Reg. ID: TIJER_150951
Published Paper Id: TIJERB001018
Downloads: 000287
Research Area: Science and Technology
Country: Thiruvallur, TamilNadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
