Fuzzy Logic Classification of Handwritten Signature Based Computer Access and File Encryption

Often times computer access and file encryption is successful based on how complex a password will be, how often users could change their complex password, the length of the complex password and how creative users are in creating a complex passsword to stand against unauthorized access to computer resources or files. This research proposes a new way of computer access and file encryption based on the fuzzy logic classification of handwritten signatures. Feature extraction of the handwritten signatures, the Fourier transformation algorithm and the k-Nearest Algorithm could be implemented to determine how close the signature is to the signature on file to grant or deny users access to computer resources and encrypted files. lternatively implementing fuzzy logic algorithms and fuzzy k-Nearest Neighbor algorithm to the captured signature could determine how close a signature is to the one on file to grant or deny access to computer resources and files. This research paper accomplishes the feature recognition firstly by extracting the features as users sign their signatures for storage, and secondly by determining the shortest distance between the signatures. On the other hand this research work accomplish the fuzzy logic recognition firstly by classifying the signature into a membership groups based on their degree of membership and secondly by determining what level of closeness the signatures are from each other. The signatures were collected from three selected input devices- the mouse, I-Pen and the IOGear. This research demonstrates which input device users found efficient and flexible to sign their respective names. The research work also demonstrates the security levels of implementing the fuzzy logic, fuzzy k-Nearest Neighbor, Fourier Transform.Master'sCollege of Arts and Sciences: Computer ScienceUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/117719/1/Kwarteng.pd

Pragmatical Paradox of Signature

The paper proposes to grasp handwritten signature as a metaphysical invention of the so-called “Western” civilization, where the signature is supposed to make possible juridical identification of the person who wrote it. However, despite this expectation of reliability, the Western handwritten signature is an aporetic sign, which is considered to be authentic (unrepeatable) and conventional (repeatable) at the same time. Because the signature is a sign of juridical identification and its authenticity can always be forged, Jacques Derrida tries to deconstruct the contradictory functioning of Western metaphysics, which leads to confusion in our expectations of authenticity and identity in our uses of signatures. By proposing a new reading of Derridean texts concerning writing, the paper focuses on the pragmatical paradox that grounds our contradictory legal politics of signing: because the exact manual reproduction of a line is impossible, no one can satisfy the legislative obligation to sign conformably to the model signature. That’s the aporia of trace’s recognition, which establishes the signature as a sign: on the one hand, the signature is supposed to represent the juridical identity of the person who traced it; on the other hand, the signature, which constantly changes its graphical form, makes every certain identification impossible. In order to question the juridical identity traditionally guaranteed by the signature, this paper invites to grasp the legal practice of signing as a subversive performativity, which is produced during the passage between recognition of juridical identity requested by the law and its simultaneous and inevitable transgression. Finally, the paper proposes a new approach to the signature as a visual performance of the self, based on a reevaluation of the altercation between Jacques Derrida and John Searle concerning the iterative character of traces and performatives

Multi-Format Document Verification System

The spread of fake documents claiming to be from official sources on social media has led to increasing levels of skepticism and uncertainty in modern society. Currently, there is no easy access method of verification for documents that can be adopted by the public. This paper proposes a method of a multi-format document verification scheme using digital signatures and blockchain. We employ digital signature algorithms to sign document contents extracted using Optical Character Recognition (OCR) methods and attach this signature to the document by converting it into a 2D barcode format. This code can then be used on a shared document to retrieve the document’s digital signature and OCR can be used to verify the signature. In addition to this, we also provide an alternative method of verification in the form of forgery detection techniques. These signed documents are stored in a decentralized storage solution backed by blockchain technology, increasing the solution's overall reliability and security

How interface geometry dictates water's thermodynamic signature in hydrophobic association

As a common view the hydrophobic association between molecular-scale binding partners is supposed to be dominantly driven by entropy. Recent calorimetric experiments and computer simulations heavily challenge this established paradigm by reporting that water's thermodynamic signature in the binding of small hydrophobic ligands to similar-sized apolar pockets is enthalpy-driven. Here we show with purely geometric considerations that this controversy can be resolved if the antagonistic effects of concave and convex bending on water interface thermodynamics are properly taken into account. A key prediction of this continuum view is that for fully complementary binding of the convex ligand to the concave counterpart, water shows a thermodynamic signature very similar to planar (large-scale) hydrophobic association, that is, enthalpy-dominated, and hardly depends on the particular pocket/ligand geometry. A detailed comparison to recent simulation data qualitatively supports the validity of our perspective down to subnanometer scales. Our findings have important implications for the interpretation of thermodynamic signatures found in molecular recognition and association processes. Furthermore, traditional implicit solvent models may benefit from our view with respect to their ability to predict binding free energies and entropies.Comment: accepted for publication in J. Stat. Phys., special issue on water&associated liquid