Image recognition performance enhancements using image normalization
نویسندگان
چکیده
منابع مشابه
Image normalization for pattern recognition
In general, there are four basic forms of distortion in the recognition of planar patterns: translation, rotation, scaling and skew. In this paper, a normalization algorithm has been developed which transforms pattern into its normal form such that it is invariant to translation, rotation, scaling and skew. After normalization, the recognition can be performed by a simple matching method. In th...
متن کاملVehicle Logo Recognition Using Image Matching and Textural Features
In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...
متن کاملPredicting Face Recognition Performance Using Image Quality
This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality features (e. g. pose, illumination, etc ) and recognition performance measures using a probability density function. To address the issue of limited nature of practical training data inherent in most data driven models, ...
متن کاملA Robust Image Watermarking Scheme using Image Moment Normalization
Multimedia security is an incredibly significant area of concern. A number of papers on robust digital watermarking have been presented, but there are no standards that have been defined so far. Thus multimedia security is still a posing problem. The aim of this paper is to design a robust image-watermarking scheme, which can withstand a different set of attacks. The proposed scheme provides a ...
متن کاملIllumination Normalization using Quotient Image-based Techniques
This chapter focuses on correctly recognizing faces in the presence of large illumination variation. Our aim is to do this by synthesizing an illumination normalized image using Quotient Image-based techniques (Shashua et al., 2001, Wang et al., 2004, Chen et al., 2005, Nishiyama et al., 2006, Zhang et al., 2007, and An et al., 2008). These techniques extract an illumination invariant represent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Human-centric Computing and Information Sciences
سال: 2017
ISSN: 2192-1962
DOI: 10.1186/s13673-017-0114-5