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» Ink recognition based on statistical classification methods
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DIAL
2006
IEEE
129views Image Analysis» more  DIAL 2006»
13 years 8 months ago
Ink recognition based on statistical classification methods
Statistical classification methods can be applied on images of historical manuscript in order to characterize the various kinds of inks used. As these methods do not require destr...
Vasiliki Kokla, Alexandra Psarrou, Vassilis Konsta...
ICFHR
2010
136views Biometrics» more  ICFHR 2010»
12 years 11 months ago
Digital Ink Compression via Functional Approximation
Representing digital ink traces as points in a function space has proven useful for online recognition. Ink trace coordinates or their integral invariants are written as parametri...
Vadim Mazalov, Stephen M. Watt
GBRPR
2005
Springer
13 years 10 months ago
An Experimental Comparison of Fingerprint Classification Methods Using Graphs
In this paper, an experimental comparison among three structural approaches to fingerprint classification is reported. Main pros and cons of such approaches are investigated by exp...
Alessandra Serrau, Gian Luca Marcialis, Horst Bunk...
PAMI
2010
207views more  PAMI 2010»
12 years 11 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
DSP
2008
13 years 3 months ago
On statistical approaches to target silhouette classification in difficult conditions
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representatio...
Conrad Sanderson, Danny Gibbins, Stephen Searle