The performance of face analysis and recognition systems depends on the quality acquired data, which is influenced by numerous factors. Automatically assessing data in terms biometric utility can thus be useful to detect low-quality make decisions accordingly. This survey provides an overview image assessment literature, predominantly focuses visible wavelength input. A trend towards deep learn...

This paper presents a filtering method for efficient face image retrieval over large volume of face databases. The proposed method employs a new face image descriptor, called a cell-orientation vector (COV). It has a simple form: a 72-dimensional vector of integers from 0 to 8. Despite of its simplicity, it achieves high accuracy and efficiency. Our experimental results show that the proposed m...

This paper describes a novel method LogAbout to compensate variety of illumination in face detection. The highlight and shadow parts of the image are rendered further away from the transformation we proposed, thus increasing the image contrast. Some traditional methods based on spatial-domain are introduced in this paper. Experiments and Comparisons with each scheme we introduced are presented....

Face recognition is the highest generous method for identification of an individual. Principal Component Analysis (PCA) is an efficient technique to identify a face from a given image. For a static image holistic based approach uses the entire raw face image as input and feature based method is based on extracting local facial features, and geometric, appearance properties. To recognize a face ...

The face annotation has many real world applications. The challenging part of search based face annotation task is management of most familiar facial images and their weak labels. To tackle this problem, different techniques are adopted. The efficiency and performance of annotating systems are improved tremendously by using these methods. Here this paper proposes a review on different technique...

In this paper, a new Hidden Markov Model (HMM)-based face recognition system is proposed. As a novel point despite of five-state HMM used in pervious researches, we used 7-state HMM to cover more details. Indeed we add two new face regions, eyebrows and chin, to the model. As another novel point, we used a small number of quantized Singular Values Decomposition (SVD) coefficients as feature...

We are introducing new effective computer model for extracting nationality from frontal image candidate using face part color, size and distances based on deep research. Determining face part size, color, and distances is depending on a variety of factors including image quality, lighting condition, rotation angle, occlusion and facial emotion. Therefore, first we need to detect a face on the i...

In the preceding decade, Human face recognition has attracted significant consideration as one of the most effective applications of image analysis and understanding. Face recognition is one of the diverse techniques used for identifying an individual. Generally the image variations because of the change in face identity are less than the variations among the images of the same face under diffe...