On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Segmenting Handwritten Signatures at Their Perceptually Important Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Delta LogNormal theory for the generation and modeling of cursive characters
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stroke-Morphology Analysis Using Super-Imposed Writing Movements
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
Off-line signature recognition using morphological pixel variance analysis
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Online signature recognition using Kekre's vector quantization algorithms KMCG & KFCG
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
A study on enhanced dynamic signature verification for the embedded system
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Hi-index | 0.00 |
This paper proposes a new hybrid handwrittensignature verification system where the on-line referencedata acquired through a digitizing tablet serves as thebasis for the segmentation process of the correspondingscanned off-line data. Local foci of attention over theimage are determined through a self-adjustable learningprocess in order to pinpoint the feature extractionprocess. Both local and global primitives are processedand the decision about the authenticity of the specimen isdefined through similarity measurements. The globalperformance of the system is measured using two differentclassifiers.