03061nam a2200289 a 4500 vtls000097836 KUKTEM 20251117113325.0 160921t2015 my a f 000 0 eng d THE0001244(Local) 201905271334 atie 201710121603 aishah 201612201107 fateeha 201610041011 fateeha 201609211108 fateeha UMP FSKKP .R69 2015 r Thesis Rozita Mohd Yusof Image enhancement and segmentation on simultaneous latent fingerprint detection / Rozita Mohd Yusof Kuantan, Pahang : UMP, 2015 xiii, 122 p. : ill. ; 30 cm. + 1 CD-ROM Faculty of Computer Systems & Software Engineering Thesis (Master of Computer Science) -- Universiti Malaysia Pahang – 2015 Bibliography : p. 57-67 A simultaneous latent fingerprint (SLF) image consists of multi-print of individual fingerprints that is lifted from a surface, typically at the crime scenes. Due to the nature and the poor quality of latent fingerprint image, segmentation becomes an important and very challenging task. This thesis presents an algorithm to segment individual fingerprints for SLF image. The algorithm aim to separate the fingerprint region of interest from image background, which identifies the distal phalanx portion of each finger that appears in SLF image. The algorithm utilizes ridge orientation and frequency features based on block-wise pixels. A combination of Gabor Filter and Fourier transform is implemented in the normalization stage. In the pre-processing stage, a modified version of Histogram equalization is proposed known as Alteration Histogram Equalization (AltHE). Sliding windows are applied to create bounding boxes in order to find out the distal phalanges region at the segmentation stage. To verify the capability of the proposed segmentation algorithm, the segmentation results is evaluated in two aspects: a comparison with the ground truth foreground and matching performance based on segmented region. The ground truth foreground refers to the manual mark up region of interest area. In order to evaluate the performance of this method, experiments are performed on the Indian Institute of Information Technology Database-Simultaneous Latent Fingerprint (IIITD-SLF). Using the proposed algorithm, the segmented images were supplied as the input image for the matching process via a state art of matcher, VeriFinger SDK. Segmentation of 240 images is performed and compared with manual segmentation methods. The results show that the proposed algorithm achieves a correct segmentation of 77.5% of the SLF images under test. Faculty of Computer System and Software Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/25758/ Library access only 0 0 lcc 0 6 20000 20000 2019-09-04 0 FSKKP .R69 2015 r Thesis 0000111076 2019-09-04 00:00:00 1 2019-09-04 THESIS 0 0 lcc 0 1 20000 20000 2019-09-04 0 CD 9896 | FSKKP .R69 2015 r Thesis 0000111077 2019-09-04 00:00:00 1 2019-09-04 THESIS VIRTUA40 6751 6757 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992