Analysis of Stability in Static Signatures Using Cosine Similarity

This paper presents a new technique for the analysis of stability in static signature images. The technique uses an equimass segmentation approach to non-uniformly split signatures into a standard number of regions. Successively, a multiple matching technique is adopted to estimate stability of each...

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Bibliographic Details
Published in2012 International Conference on Frontiers in Handwriting Recognition pp. 231 - 235
Main Authors Impedovo, D., Pirlo, G., Sarcinella, L., Stasolla, E., Trullo, C. A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Conferences
Cosine Similarity
Equimass segmentation
Feature extraction
Handwriting recognition
Image segmentation
Local Stability
Stability criteria
Static Signature
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ISBN9781467322621
1467322628
DOI10.1109/ICFHR.2012.180

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Summary:This paper presents a new technique for the analysis of stability in static signature images. The technique uses an equimass segmentation approach to non-uniformly split signatures into a standard number of regions. Successively, a multiple matching technique is adopted to estimate stability of each region, based on cosine similarity. The GPDS database has been considered for the experimental test. The results demonstrate the validity of the novel approach and highlight some directions for further research.
ISBN:9781467322621
1467322628
DOI:10.1109/ICFHR.2012.180