Title :
Signature verification using Java - Python for small computational devices
Author :
Choudhary, Savita ; Kaul, Siddanth ; Mishra, Shridhar ; Arun, J.B.
Author_Institution :
Fac. CSE, Sir MVIT, Bangalore, India
Abstract :
This paper identifies an innovative design for signature verification which is able to extract features from an individual´s signatures and uses those feature sets to discriminate genuine signatures from forgeries. An innovative JAVA-PYTHON platform is used for the development. Detailed feature study, algorithm development and feature set verification is carried out during this experiment.
Keywords :
Java; feature extraction; handwriting recognition; JAVA-PYTHON platform; feature extraction; feature set verification; forgeries; genuine signatures; signature verification; small computational devices; Accuracy; Algorithm design and analysis; Entropy; Feature extraction; Handwriting recognition; Hidden Markov models; Numerical models; JAVA; PYTHON; SIGNATURE; VERIFICATINON;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154788
