@article { , title = {Fast and efficient palmprint identification of a small sample within a full image.}, abstract = {In some fields like forensic research, experts demand that a found sample of an individual can be matched with its full counterpart contained in a database. The found sample may present several characteristics that make this matching more difficult to perform, such as distortion and, most importantly, a very small size. Several solutions have been presented intending to solve this problem, however, big computational effort is required or low recognition rate is obtained. In this paper, we present a fast, simple, and efficient method to relate a small sample of a partial palmprint to a full one using elemental optimization processes and a voting mechanic. Experimentation shows that our method performs with a higher recognition rate than the state of the art method, when trying to identify palmprint samples with a radius as small as 2.64 cm.}, doi = {10.13053/CyS-18-4-2059}, eissn = {2007-9737}, issn = {2007-9737}, issue = {4}, journal = {Computación y sistemas}, note = {INFO COMPLETE (rec'd from contact 10.01.2020 GB) PERMISSION GRANTED (version = VOR ; embargo = none ; licence = BY-NC ; https://www.cys.cic.ipn.mx/ojs/index.php/CyS/about/submissions\#copyrightNotice ; 22.01.2020 GB) DOCUMENT READY (rec'd from contact 10.01.2020 GB) ADDITIONAL INFO: Carlos Moreno-Garcia}, pages = {683-691}, publicationstatus = {Published}, publisher = {Instituto Politécnico Nacional. Centro de Investigación en Computación}, url = {https://rgu-repository.worktribe.com/output/824279}, volume = {18}, keyword = {Sub-image registration, Hough method, Candidate voting, Hungarian algorithm}, year = {2014}, author = {Moreno-García, Carlos Francisco and Serratosa, Francesc} }