Judul: Perbandingan Ekstraksi Ciri Haar Wavelet dan Log-Gabor Wavelet pada Pengenalan Iris Mata dengan VFI5
Abstrak: A biometric system provides automatic identification based on unique feature or characteristic by the individual. As an example, the iris pattern of human eye is used in biometric system. Iris pattern is more stable and unique so it is suitable for biometric system. This research aims to compare dimension of Haar wavelet and Log-Gabor wavelet as feature extraction on iris recognition using VFI5 algorithm and provides implementation for recognizing eye images based on VFI5 algorithm. The eye images in this research are taken from CASIA dataset. The system uses Canny edge detector for image segmentation and Daugman’s Rubber Sheet Model to normalize the result to constant interval. Feature extraction uses Haar wavelet with 3 different levels and iris recognition with VFI5 algorithm with 3-cross fold validation. As a result, the best recognition of testing data is obtained from combining the votes from the left and right eyes. Less dimensions and features are obtained when using Haar wavelet than Log-Gabor wavelet.
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Judul: Pengenalan iris mata dengan algoritme voting feature interval versi 5 menggunakan ekstraksi ciri log-gabor wavelet
Abstrak: Biometric recognition based on iris patterns has its own advantages because iris patterns are more stable and reliable as compared to other biometric subjects such as face and fingerprint. This research provides implementation for recognizing eye images taken from CASIA dataset based on Daugman methods for extracting features. The system uses an automatic segmentation based on threshold to localize the iris collarette and normalize the results to constant dimension using Daugman’s rubber sheet model by remaping each point within the iris region to a pair of polar coordinates. The features are extracted using 1D log-Gabor wavelets to create template which contains dimension 2 times from its normalized images. The template data are then splitted into three subsets and then alternately used for training and testing using voting feature interval version 5. The best recognition of testing data are obtained from combining vote from left and right eyes rather than using single eye sides.
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Judul: Sarcosporidiasis in slaughter animals
Abstrak: Sarcocystis which belong to the generally occuring parasites for they are found almost all over the countries of the world. Infection of Sarcocystis usually throught inges- tion of feces or flesh of infected animals. The pathogenesis of Sarcosporidiasis is considered as benign but when the Sarcocystis die in a host, sarcocystin or sarcosporidin is liberated thereby which lead to condemnation of meat in the abattoir. Besides condemnation of meat, Sarcocystis also causes: loss of appetite, anemia, lameness, weakness in the lion, diarrhea, fever, pyrexia, paralysis, emaciation, neuro logical disturbances, etc. " Amprolium "at the rate of 100 mg/Kg body weight per day has been practiced for prevention or to minimize Sarco- sporidiasis. Treatment must be started during incubation period. Shedding of Sarcocystis sporocysts in the feces of carnivores is the key factor in the spread of Sarcocystis infection. Therefore, control efforts must be based primarily on measures designed to break the cycle of Sarcocystis.
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