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_aAllyona Corona, and Ayra Denise Talamayan.
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_aEnhancement of perceptual hashing algorithm applied on onsight application /
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_cAllyona Corona, and Ayra Denise Talamayan.
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_c201746
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_c28 cm.
_a90 pp.
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_aunmediated
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_aThesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2017.
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_aABSTRACT: A perceptual hash function maps an image to produce a binary string of hash value based on the image's visual appearance. Such a function calculates and compares two hash values to determine whether photos are similar or not. This paper presents enhanced techniques that overcome certain limitations of perceptual image hashing. Cross correlation method was employed as a similarity measure for normalization while Euclidean distance was introduced to compare pictures by computing the distance of two different vectors from two different images. Experimental results showed that the proposed algorithm is robust against normal digital processing like cropping, distorting such as swirled and fisheyed effect, and flipping horizontally or vertically of an image. When compared with the current scheme, the suggested study yielded better identification performance, thus producing an algorithm for applications in image databases, indexing, watermaking, and authentication.
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