SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Off-line Signature Verification based on the Modified Direction Feature
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Introduction to Data Compression, Third Edition (Morgan Kaufmann Series in Multimedia Information and Systems)
Offline signature verification using the discrete radon transform and a hidden Markov model
EURASIP Journal on Applied Signal Processing
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Signature identification and verification is considered among the most popular biometric methods in the area of personal authentication. The proposed method is based on offline verification of signature by two different algorithms. Before extracting different features from the signature, some preprocessing of the signature is done. In preprocessing, the signature is colour normalized and scaled into a standard format. The first algorithm is based on discrete cosine transform and it takes into consideration all the Discrete Cosine Transform (DCT) coefficients while finding match between test signature and signature stored in the database. The second algorithm is improved version of the first algorithm; it considers only significant DCT coefficients while matching. Both the algorithms use Euclidean distance classifier for comparing test signature with database. The algorithms have shown promising results while dealing with random forgeries and simple forgeries; also it gives good recognition rates.