UID:
almafu_9959243647102883
Format:
1 online resource (162 p.)
ISBN:
981-4579-63-7
Content:
In the age of e-society, handwritten signature processing is an enabling technology in a multitude of fields in the "digital agenda" of many countries, ranging from e-health to e-commerce, from e-government to e-justice, from e-democracy to e-banking, and smart cities. Handwritten signatures are very complex signs; they are the result of an elaborate process that depends on the psychophysical state of the signer and the conditions under which the signature apposition process occurs. Notwithstanding, recent efforts from academies and industries now make possible the integration of signature-bas
Note:
Description based upon print version of record.
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Preface; 1) STABILITY ANALYSIS OF ONLINE SIGNATURES IN THE GENERATION DOMAIN; 1. Introduction; 2. The Sigma-Lognormal Model; 3. Analysis of Signature Stability; 4. Experimental Results; 5. Conclusions; References; 2) EXPLOITING STABILITY REGIONS FOR ONLINE SIGNATURE VERIFICATION; 1. Introduction; 2. Modeling Stability in Signatures; 2.1. Searching for stability regions between two signatures; 2.2. Searching for stability regions in a set of signatures; 3. Using the Stability Regions for Signature Verification; 4. Experimental Results; 4.1. The datasets; 4.2. Results; 5. Conclusions
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References3) TWO BIOINSPIRED METHODS FOR DYNAMIC SIGNATURES ANALYSIS; 1. Introduction; 2. Previous Works; 2.1. Signature segmentation; 2.2. Movement modelling; 3. Proposed Method; 4. Conclusions and Future Work; Acknowledgments; References; 4) USING GLOBAL FEATURES FOR PRE-CLASSIFICATION IN ONLINE SIGNATURE VERIFICATION SYSTEMS; 1. Introduction; 2. Pre-Classification Approach; 3. Feature Extraction; 3.1. Global based features; 3.2. Time function based features; 4. Evaluation Protocol; 5. Results and Discussion; 5.1. Univariate case; 5.2. Multivariate case; 6. Conclusions; References
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5) INSTANCE SELECTION METHOD IN MULTI-EXPERT SYSTEM FOR ONLINE SIGNATURE VERIFICATION1. Introduction; 2. Instance Selection Methods; 2.1. State of the art; 2.2. Selecting instances in multi-expert system; 3. Operating Conditions; 3.1. Classifiers and combination techniques; 3.2. SUSig handwritten signature database; 4. Experimental Results; 5. Conclusion and Future Works; References; 6) TOWARDS A SHARED CONCEPTUALIZATION FOR AUTOMATIC SIGNATURE VERIFICATION; 1. Introduction; 2. Automatic Signature Verification: PR View; 3. Signature Verification: FHE View
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4. Moving Towards Standardization: Bridging the Gaps4.1. Non-accessible datasets and non-representative data; Probable solution; 4.2. Different terminology and modalities/categories; Probable solution; 4.3. Output by the state-of-the-art systems; Probable solution; 4.4. State-of-the-art evaluation; Probable solution: Standardized performance evaluation scheme; 5. Summary and Future Directions; Acknowledgments; References; 7) OFFLINE SIGNATURE VERIFICATION BASED ON PROBABILISTIC REPRESENTATION OF GRIDEVENTS; 1. Introduction; 2. Feature Extraction; 2.1. Preprocessing
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2.2. Short mathematical background2.3. Proposed representation; 3. Verification Procedure; 3.1. Protocol; 3.2. Representative scheme selection based on entropy; 3.3. Results and discussion; 4. Conclusions; References; 8) LOCAL FEATURES FOR OFF-LINE FORENSIC SIGNATURE VERIFICATON; 1. Introduction; 2. Disguised Signatures; 3. Related Work; 4. Local Features Based Systems; 4.1. Proposed Systems 1 and 2; 4.2. Proposed System 3; 5. Evaluation; 5.1. Dataset; 5.2. Results; 6. Conclusions and Future Work; Acknowledgments; References; 9) EMERGING ISSUES FOR STATIC HANDWRITTEN SIGNATURE BIOMETRICS
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1. Introduction
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English
Additional Edition:
ISBN 981-4579-62-9
Language:
English
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