Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Biometric identification for on-line and off-line signature recognition

18.07.2006
Day by day, natural and secure access to interconnected systems is becoming more and more important. There is also a strong need to verify identity of people in a fast, easy to use and user-friendly way.

In this context, handwritten signature is one of the most traditionally used and most socially accepted biometric identification ways. The PhD. Thesis of Juan Jose Igarza Ugaldea, from the University of the Basque Country, presents proposals for the two ways of handwritten signature biometric identification: on-line and off-line signature recognition.

To face this challenge, we have developed a wide data base, including enough signatures from several anonymous signers and skilled forgeries. The collected database is multimodal as it also includes fingerprints and voices from all users.

We have carried out a State of The Art in biometric recognition at different levels, starting from a wide vision of biometric recognition, evolving through the handwriting recognition and ending in both ways of handwritten signatures.

Our proposal for on-line signature recognition is a system based on processing local features (coordinates, velocities, accelerations, pressure and pen tilt) by using global features (center of mass of ink and principal inertia axes) as a reference system. We propose a simple scaling algorithm for signature time normalization that is applicable to every local feature. We have limited the amount of local features to feed the Hidden Markov Models to nine, in order to balance the required security level and the processing and storing capacities. Using six stated LR-HMMs we have obtained equal error rates similar to those observed in the state-of-the-art.

We have studied the reference system that is most suitable for the alignment of signatures and we have proposed the reference system located in the center of mass of ink using the principal inertia axes as orientation, after concluding that using signatures first points coordinates and slope as an alignment reference becomes a source of noise. The new reference system provides a better alignment, improving the equal error rate significantly, especially when using only coordinates.

Our proposals for off-line signature recognition consist in two systems based on using the LR-HMM technique, which is so useful for dynamic systems. The models are fed on spatially ordered point sequences and geometrical “false-dynamic” derivative features. The goal of those proposals is to extend LR-HMMs to the field of static or off-line signature processing using results provided by image connectivity analysis, which separates images in connected components known as “blobs”, each one made up of a cluster of adjacent pixels of the same nature.

Two different ways of generating models are discussed, depending on the way that blobs provided by the connectivity analysis are ordered. In the first proposed method, blobs are ordered according to their perimeter length. In the second proposal, the sorting criterion is based in the natural reading order. Results obtained in different experiments are presented, showing that the proposed methods provide verification rates similar to those observed during the study of the state-of-the-art. The models based on the second criterion are especially adequate for the Latin writing in which signatures have been written.

Irati Kortabitarte | alfa
Further information:
http://www.elhuyar.com
http://www.basqueresearch.com/berria_irakurri.asp?Gelaxka=1_1&Berri_Kod=1008&hizk=I

More articles from Information Technology:

nachricht Metamolds: Molding a mold
20.08.2018 | Institute of Science and Technology Austria

nachricht Robots as Tools and Partners in Rehabilitation
17.08.2018 | Albert-Ludwigs-Universität Freiburg im Breisgau

All articles from Information Technology >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: It’s All in the Mix: Jülich Researchers are Developing Fast-Charging Solid-State Batteries

There are currently great hopes for solid-state batteries. They contain no liquid parts that could leak or catch fire. For this reason, they do not require cooling and are considered to be much safer, more reliable, and longer lasting than traditional lithium-ion batteries. Jülich scientists have now introduced a new concept that allows currents up to ten times greater during charging and discharging than previously described in the literature. The improvement was achieved by a “clever” choice of materials with a focus on consistently good compatibility. All components were made from phosphate compounds, which are well matched both chemically and mechanically.

The low current is considered one of the biggest hurdles in the development of solid-state batteries. It is the reason why the batteries take a relatively long...

Im Focus: Color effects from transparent 3D-printed nanostructures

New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference

Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...

Im Focus: Unraveling the nature of 'whistlers' from space in the lab

A new study sheds light on how ultralow frequency radio waves and plasmas interact

Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...

Im Focus: New interactive machine learning tool makes car designs more aerodynamic

Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.

When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...

Im Focus: Robots as 'pump attendants': TU Graz develops robot-controlled rapid charging system for e-vehicles

Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.

Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

LaserForum 2018 deals with 3D production of components

17.08.2018 | Event News

Within reach of the Universe

08.08.2018 | Event News

A journey through the history of microscopy – new exhibition opens at the MDC

27.07.2018 | Event News

 
Latest News

A novel synthetic antibody enables conditional “protein knockdown” in vertebrates

20.08.2018 | Life Sciences

Metamolds: Molding a mold

20.08.2018 | Information Technology

It’s All in the Mix: Jülich Researchers are Developing Fast-Charging Solid-State Batteries

20.08.2018 | Power and Electrical Engineering

VideoLinks
Science & Research
Overview of more VideoLinks >>>