Sandra Maria Costa

New method to obtain the directional image for fingerprint classification

This work presents a simpler method to obtain fingerprint classification by means of directional map smoothing developed in C++ programming language through statistical techniques. That strategy allows to extract attributes of an image to increase the quality because it is possible to reduce the noise if compared with the result obtained by other methods exposed in the literature.

Directional images applied to axonal arborization identification

This work presents results on axonal arborization identification in a cell culture of neurons from Helix aspersa with the use of the directional image method. We implemented an algorithm that had initially been proposed for fingerprint recognition and classification, and adapted this idea to axonal classification and measurement.