A Study on Handwritten Signature
نویسندگان
چکیده
منابع مشابه
Neural Networks on Handwritten Signature Verification
Biometric offers potential for automatic personal identification and verification, differently from other means for personal verification; biometric means are not based on the possession of anything (as cards) or the knowledge of some information (as passwords). There is considerable interest in biometric authentication based on automatic signature verification (ASV) systems because ASV has dem...
متن کاملSigSA: On-line Handwritten Signature Database
Online signature verification is a challenging problem. It’s difficulty comes from the problem of separation between genuine variation of an individual’s signatures and that of forgery signatures. Different algorithms have been proposed by various researchers, however lack of the publically available signature databases hinders benchmarking their performances. In this paper we introduce a signa...
متن کاملHandwritten Signature On-Card Matching Performance Testing
This paper presents equipment and procedures for on-card (in-situ) performance testing of biometric on-card comparison implementations using pre-existing databases of biometric samples. A DTW-based on-line signature on-card comparison implementation serves as an example test object. The test results presented are false match rates and false non-match rates over a range of decision thresholds on...
متن کاملNeural Networks on Handwritten Signature Verification
Biometric offers potential for automatic personal identification and verification, differently from other means for personal verification; biometric means are not based on the possession of anything (as cards) or the knowledge of some information (as passwords). There is considerable interest in biometric authentication based on automatic signature verification (ASV) systems because ASV has dem...
متن کاملOffline Handwritten Signature Recognition
Biometrics, which refers to identifying an individual based on his or her physiological or behavioral characteristics, has the capability to reliably distinguish between an authorized person and an imposter. Signature verification systems can be categorized as offline (static) and online (dynamic). This paper presents a neural network based recognition of offline handwritten signatures system t...
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 Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/13717-1489