MODELING IMAGE RECOGNITION BASED ON BINARY SIMILARITY MEASURE
Yahia S. Al-Halabi, Princess Sumaya · 2008
Matching based on Moiré pattern is a well known method for image recognition. Image recognition is one of the interesting fields of study. There are many methods for image recognition. Some uses images subtraction and others use the wavelet technique which is a new topic used in many fields and applications. This paper, represent a model image recognition by mean of Binary similarity measure. Matching technique used in this model differs from conventional matching, in such a way that the matching points are not compared under a search task, but rather under a circular pattern resulting from superimposing two images under investigation. Results obtained, prove that this technique introduced by the modified Moiré pattern is very useful and can be used in many applications. It is accurate, fast and can be performed in minimum space for storing data. It is applicable in image recognition and it is more secure in image transmission.