This paper proposes a novel grid-based template matching scheme for off-line signature
analysis and verification. At the heart of the new method lies the efficient encoding of the …

The stability of handwritten signatures is a crucial characteristic for both investigating the
nature of the signature apposition process and improving systems for automatic signature …

In this paper, a novel and effective lip-based biometric identification approach with the
Discrete Hidden Markov Model Kernel (DHMMK) is developed. Lips are described by shape …

Signatures are widely used as a means of personal identification and verification. Many
documents like bank cheques and legal transactions require signature verification …

Handwritten signatures are one of the most widely used biometrics, particularly in financial
and legal transactions. Offline Signature verification is still one of the most challenging …

Off-line hand written signature verification performs at the global level of image. It processes
the gray level information in the image using statistical texture features. The textures and co …

Recently, security application and demand is increasing rapidly. In this field of security, bio-
medical security plays important role which include fingerprint verification, iris verification …

The paper proposes a theoretically very simple, and effective multi-scale local structural
patterns (MS-LSP) for off-line signature verification. The proposed strategy models the …

A novel offline signature modeling is introduced and evaluated which attempts to advance a
grid based feature extraction method uniting it with the use of an ordered powerset …

Handwritten signature is a widely used biometric. The most challenging problem in
automatic signature verification is to detect skilled forgery which is similar to the genuine …