Recognition of Signature Using Neural Network and Euclidean Distance for Bank Cheque Automation
subject: Euclidean distance measure; Neural network; Signature recognition; Zonal features
description: Handwritten signature recognition plays significant role in automatic document verification system in particularly bank cheque authorization. The proposed method focuses on A novel technique for offline signature recognition approach for bank cheque based on zonal features and regional features. These combined features are used to find genuinety of signature using Euclidean distance as a metric. Extensive experiments are carried out to exhibit the success of the recommended approach. 2019, Springer Nature Singapore Pte Ltd.
creator: Raghavendra S.P.; Danti A.
source: Communications in Computer and Information Science, Vol-1037, pp. 228-243.
publisher: Springer Verlag
date: 2019-01-01
rights: Restricted Access
relation: ISSN: 18650929; ISBN: 978-981139186-6
format: Online
language: English
type: Conference paper
coverage: Raghavendra S.P., NES Research Foundation, Department of MCA, JNNCE, Shimoga, Karnataka, India; Danti A., Department of Computer Science and Engineering, Christ (Deemed to be university), Bangalore, Karnataka, India