[pt] A busca por novas técnicas para a revelação de impressões digitais latentes é constante por conta da importância para a área de Ciências Forenses, em especial, na elucidação de crimes. O objetivo do presente estudo é avaliar o potencial da 4,7- di-m-toluilbenzo[c][1,2,5]tiadiazola (BTD 206) como novo marcador para aplicação na identificação dos grupos fundamentais e pontos característicos dos desenhos das impressões digitais, visando melhor contraste de imagem em substratos de diferentes cores, como capa de celular. Seis matrizes diferentes foram testadas para a análise preliminar do desenvolvimento do pó revelador. A matriz escolhida, carbonato de cálcio foi a que apresentou maior intensidade de luminescência no substrato. Esse pó revelador foi desenvolvido e avaliado através da espectrometria de luminescência em três diferentes concentrações. O programa Image J foi utilizado para o processamento das imagens. O pó revelador impregnado com a BTD 206 em metanol, na matriz carbonato de cálcio apresentou características que auxiliaram na melhoria da qualidade do contraste, que foi realizada a partir do histograma de imagem, que descreve a estatística dos níveis de cinza. Dessa forma, em uma imagem com melhor qualidade, é possível extrair informações da impressão digital, como grupos fundamentais e minúncias. O que auxilia em um confronto e identificação de um possível suspeito de um crime. O pó revelador desenvolvido com a BTD 206 teve um desempenho satisfatório para aplicação pretendida. / [en] The search for new techniques for revealing latent fingerprints is constant due to the importance for the area of Forensic Sciences, in particular, in the elucidation of crimes. The objective of the present study is to evaluate the potential of 4,7-di-m-toluylbenzo[c][1,2,5]thiadiazole (BTD 206) as a new marker for application in the identification of fundamental groups and characteristic points of drawings of digital prints, aiming at better image contrast on substrates of different colors, such as cell phone cases. Six different matrices were tested for the preliminary analysis of the developer powder development. The matrix chosen, calcium carbonate, was the one that presented the highest intensity of luminescence in the substrate. This developer powder was developed and evaluated through luminescence spectrometry at three different concentrations. The Image J program was used for image processing. The developer powder impregnated with BTD 206 in methanol, in the calcium carbonate matrix, showed characteristics that helped to improve the quality of the contrast, which was performed from the image histogram, which describes the gray levels statistics. In this way, in a better quality image, it is possible to extract information from the fingerprint, such as fundamental groups and minutiae. Which helps in a confrontation and identification of a possible suspect of a crime. The developer powder developed with BTD 206 performed satisfactorily for the intended application.

The traffic sign detection and recognition system is an essential part of the driver warning and assistance systems. In this thesis, traffic sign recognition system is studied. We considered circular, triangular and square Turkish traffic signs. For detection stage, we have two different approaches. In first approach, we assume that the detected signs are available. In the second approach, the region of interest of the traffic sign image is given. Traffic sign is extracted from ROI by using a detection algorithm. In recognition stage, the ring-partitioned method is implemented. In this method, the traffic sign is divided into rings and the normalized fuzzy histogram is used as an image descriptor. The histograms of these rings are compared with the reference histograms. Ring-partitions provide robustness to rotation because the rotation does not change the histogram of the ring. This is very critical for circle signs because rotation is hard to detect in circle signs. To overcome illumination problem, specified gray scale image is used. To apply this method to triangle and square signs, the circumscribed circle of these shapes is extracted. Ring partitioned method is tested for the case where the detected signs are available and the region of interests of the traffic sign is given. The data sets contain about 500 static and video captured images and the images in the data set are taken in daytime.