TY - JOUR AU - Gok, M. AU - Gorgunoglu, S. AU - Muharrem Orak, I. PY - 2014/06/09 Y2 - 2024/03/28 TI - Fingerprint Pre-processing on ARM and DSP Platforms JF - Elektronika ir Elektrotechnika JA - ELEKTRON ELEKTROTECH VL - 20 IS - 6 SE - DO - 10.5755/j01.eee.20.6.7287 UR - https://eejournal.ktu.lt/index.php/elt/article/view/7287 SP - 140-143 AB - In minutiae based fingerprint analysis, fingerprint image is pre-processed before extracting features. The pre-processing is carried out to obtain more accurate minutiae points. Implementing fingerprint programs on embedded systems can be considered as important especially for real time standalone applications. Reducing the pre-processing time is important for identification and verification in real time embedded systems. In this study, pre-processing of minutiae based fingerprint system is implemented on two different platforms: Texas Instruments Sitara AM3359 which is a single board computer and OMAP-L138 which is a development kit. OMAP-L138 is a low power application processor based on ARM9 and C674x DSP cores. AM3359 is microprocessor unit based on ARM Cortex-A8 core. Fingerprint pre-processing algorithms are implemented using C/C++ compiler and tested on three different cores: ARM9, DSP and ARM Cortex-A8. The execution times are compared with each other. The results show that using DSP core, execution time is substantially improved. <p>DOI: <a href="http://dx.doi.org/10.5755/j01.eee.20.6.7287">http://dx.doi.org/10.5755/j01.eee.20.6.7287</a></p> ER -