Features Extraction Based on Linear Regression Technique | Science Publications

Journal of Computer Science

Khalid W. Magld¹ 

关键词: Pattern recognition;    invariant features;    boundaries pixel distance;    linear function;   

DOI  :  10.3844/jcssp.2012.701.704

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: The matching problem of complex objects is one of the most difficult task in the pattern recognition field. These problems are made difficult by seemingly infinite varieties of shapes and classes which are used. The difficulties are related to absolute shape measurement, given the impossibility of directly mapping shapes, as such, into a feature space. Approach: In this study, an object was modeled using boundaries pixel distance. The invariant has been resulted from the distance of each boundaries pixel to their central point. By performing linear regression on each set of sorted distances, a unique set of numerical features from the coefficients of this linear function has been produced. This unique set of numerical values is then proposed as an object

【 授权许可】

Unknown