News Column

New Findings from University of Costa Rica in the Area of Information Technology Described (Hand shape identification on multirange images)

July 8, 2014

By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators discuss new findings in Information Technology. According to news reporting originating from San Jose, Costa Rica, by VerticalNews correspondents, research stated, "A hand-shape based biometric identification system which is independent of the image spectrum range is proposed here. Two different spectrum ranges; visible and mid-range infrared, were used to validated the architecture, which maintained the accuracy and stability levels between ranges."

Our news editors obtained a quote from the research from the University of Costa Rica, "In particular, three public databases were tested, obtaining accuracies over 99.9% using a 40% hold-out cross-validation approach. Discrete Hidden Markov Models (DHMM) representing each target identification class was trained with angular chain descriptors. A kernel was then extracted from the trained DHMM and applied as a feature extraction method."

According to the news editors, the research concluded: "Finally, supervised Support Vector Machines were used to classify the extracted features."

For more information on this research see: Hand shape identification on multirange images. Information Sciences, 2014;275():45-56. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier -; Information Sciences -

The news editors report that additional information may be obtained by contacting C.M. Travieso, Univ Costa Rica, Dept. of Comp Sci, San Jose, Costa Rica. Additional authors for this research include J.R. Ticay-Rivas, J.C. Briceno, M. del Pozo-Banos and J.B. Alonso.

Keywords for this news article include: San Jose, Costa Rica, Information Technology, North and Central America

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Source: Information Technology Newsweekly

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