Fundamentals of speech recognition
Fundamentals of speech recognition
Reliable On-Line Human Signature Verification Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
On-line Handwritten Signature Verification using Hidden Markov Model Features
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
On-Line Signature Verification with Hidden Markov Models
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
On-Line Signature Verification With Two-Stage Statistical Models
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
On-Line Signature Matching Based on Hilbert Scanning Patterns
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Digital Signal Processing
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
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This paper presents a novel approach to the on-linesignature verification using local shape Analysis. First,segment the input signature into several segments usingHMM (Hidden Markov Model). Then, combine twoadjacent segments to form a long segment and get itsspectral and tremor information using FFT (FastFourier Transformation). At last, accept it or reject itbased on the similarity between the spectral and itsprototype. In addition, we proposed a novel initializationalgorithm to avoid the local optimal of the HMM's re-estimationand a novel algorithm to avoid losing theimportant information at cusps in preprocessing.Combining the local shape analysis with the local time-basedcomparison, we get promising experimentalresults.