000 02797cam a2200253 a 4500
999 _c25359
_d25359
010 _a 2014007538
020 _a9789814579629
082 0 0 _a006.4/24
245 0 0 _aAdvances in digital handwritten signature processing :
_ba human artefact for e-society
_cedited by Giuseppe Pirlo, Donato Impedovo, Michael Fairhurst
260 _aNew Jersey :
_bWorld Scientific,
_cc2014.
300 _axiii, 147 p. :
_bill. ;
_c24 cm.
504 _aIncludes bibliographical references and index.
520 _aIn the age of e-society, handwritten signature processing is an enabling technology in a multitude of fields in the "digital agenda" of many countries, ranging from e-health to e-commerce, from e-government to e-justice, from e-democracy to e-banking, and smart cities. Handwritten signatures are very complex signs; they are the result of an elaborate process that depends on the psychophysical state of the signer and the conditions under which the signature apposition process occurs. Notwithstanding, recent efforts from academies and industries now make possible the integration of signature-based technologies into other standard equipment to form complete solutions that are able to support the security requirements of today's society.Advances in Digital Handwritten Signature Processing primarily provides an update on the most fascinating and valuable researches in the multifaceted field of handwritten signature analysis and processing. The chapters within also introduce and discuss critical aspects and precious opportunities related to the use of this technology, as well as highlight fundamental theoretical and applicative aspects of the field.This book contains papers by well-recognized and active researchers and scientists, as well as by engineers and commercial managers working for large international companies in the field of signature-based systems for a wide range of applications and for the development of e-society.This publication is devoted to both researchers and experts active in the field of biometrics and handwriting forensics, as well as professionals involved in the development of signature-based solutions for advanced applications in medicine, finance, commerce, banking, public and private administrations, etc. Handwritten Signature Processing may also be used as an advanced textbook by graduate students.
650 0 _aOptical character recognition
_939187
650 0 _aDigital signatures
_939188
650 7 _aDocument imaging systems
_939184
700 1 _aPirlo, Giuseppe,
_eEdited by
_939189
700 1 _aImpedovo, Donato,
_eEdited by
_939190
700 1 _aFairhurst, Michael
_d1948-
_eEdited by
_939191
856 _uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21
_zLocation Map