Offline signature verification using DAG-CNN
نویسندگان
چکیده
منابع مشابه
Offline Signature Verification using Euclidian Distance
Signature authentication is the most widely used method of verifying a person’s identity. The texture and topological features are the static features of a signature image. Baseline slant angle, aspect ratio, normalized area, center of gravity of the whole signature image and the slope of the line joining the center of gravities of two halves of a signature image are used as the texture and top...
متن کاملOffline Signature Verification Using Graph Matching
In this paper, we present a simple and effective signature verification method that depends only on the raw binary pixel intensities and avoids using complex sets of features. The method looks at the signature verification problem as a graph matching problem. The method is tested using genuine and forgery signatures produced by five subjects. An equal error rate of 26.7% and 5.6% was achieved f...
متن کاملOffline Signature Verification Using Image-Processing Techniques
Signature is one of the important method of individual authentication and identification. Signatures. A variety of techniques have been proposed for signature identification in the past. Handwritten signatures are one of the most and effective method of authenticating an individual’s identity. Lot of research is going on for signature recognition. In this paper we have used image processing tec...
متن کاملOffline Signature Verification Using Artificial Neural Network
This review paper off-line signature verification and recognition using a new approach that depends on a artificial neural network which discriminate between two classes (i) forgery and (ii) original signature. The proposed scheme is based on the technique that applies pre-processing on the signature, feature point extraction and neural network training and finally verifies the authenticity of ...
متن کاملUse of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition
Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet transform and transfer learning is proposed. Since, a large percentage of handwritten signatures are composed of curves and the performance of a sig...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2019
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v9i4.pp3314-3322