A Preliminary Study on Various Off-line Hand Written Signature Verification Approaches
نویسنده
چکیده
Biometrics can be classified into two broad categories— behavioral (signature verification, keystroke dynamics, etc.) and physiological (iris characteristics, fingerprint, etc.). Handwritten signature is amongst the first few biometrics to be used even before the advent of computers. Signature verification is widely studied and discussed using two approaches [5]. On-line approach uses an electronic tablet and a stylus connected to a computer to extract information about a signature and takes dynamic information like; pressure, velocity, etc whereas in offline approach stable dynamic variations are not used for verification purpose. Offline systems are more applicable and easy to use in comparison with on-line systems in many parts of the world however it is considered more difficult than on-line verification due to the lack of dynamic information. The paper presents a survey of off-line signature verification approaches being followed in different areas. This being a nascent area under research, the survey covers some of the examples of the ways
منابع مشابه
Offline Signature Verification and Forgery Recognition System: A Review
Hand written Signature used as a biometric symbol for various application. Each signature signed by everyone may be distinct at a similar time. So it’s important to have a web processed signature Verification system for differentiate digital signature. A variety of studies regarding off line and online verification systems are introduced by researchers within the last years. The paper provides ...
متن کاملStatistical Features Based Off Line Signature Verification System using Image Processing Techniques
Handwritten signature recognition can be divided into online (or dynamic) and off-line (or static) recognition. Online recognition refers to a process that the signer uses a special pen called a stylus to create his or her signature, producing the pen locations, speeds and pressures, while off-line recognition just deals with signature images acquired by a scanner or a digital camera. In genera...
متن کاملFeatures Extraction and Verification of Signature Image using Clustering Technique
Humans are comfortable with pen and papers for authentication and authorization in legal transactions. In this case it is very much essential that a person’s Hand written signature to be identified uniquely. The development of efficient technique is to extract features from Handwritten Signature Image and verify the signature with higher accuracy. This paper presents a method for off line hand ...
متن کاملOn-line Signature Biometrics using Support Vector Machine
Handwritten signature has long been established as the most diffuse mean for personal verification in our daily life. It is commonly, in general, in all kind of legal documents and transactions. Therefore, within all biometric modalities, signature is probably the widest accepted. On the other hand, signature is a behavioural characteristic of individuals, and therefore is considered being weak...
متن کاملTowards Automated Transactions Based on the Offline Handwritten Signatures
Automating business transactions over the Internet relies on digital signatures, a replacement of conventional handwritten signatures in paper-based processes. Although they guarantee data integrity and authenticity, digital signatures are not as convenient to users as the manuscript ones. In this paper, a methodology is proposed to produce digital signatures using off-line hand-written signatu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010