This article presents an attempt to improve Eigenface algorithm efficiency by using image pre-filtering in order to eliminate background areas of the picture and illumination influence. The background is treated as noise, so when noise is present then efficiency of the algorithm decreases. In order to eliminating this inconvenience, analysed image is pre-filtered by means of the colour classifi...

This paper presents a bimodal biometric verification system based on the fusion of palmprint and face features at the matching-score level. The system combines a new approach to palmprint principal lines recognition based on hypotheses generation and evaluation and the well-known eigenfaces approach for face recognition. The experiments with different matching-score normalization techniques hav...

In previous work [6, 9, 10], we advanced a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measure of similarity based primarily on a Bayesian (MAP) analysis of image di erences, leading to a \dual" basis similar to eigenfaces [13]. The performance advantage of this probabilistic matching technique over standard ...

A face recognition software framework was developed to lay the foundation for a future video annotation system. The framework provides a unified and extensible interface to multiple existing implementations of face detection and recognition algorithms from OpenCV and Wawo SDK. The framework supports face detection with cascade classification using Haar-like features, and face recognition with E...

Among the many methods proposed in the literature for face recognition, those relying on the so called eigenfaces have been explored with great interest in the last few years. In those methods the face images are initially subjected to a PCA stage (Principal Component Analysis) for dimensionality reduction and then applied to a classifier. This work evaluates and compares two eigenface based fa...

Security and authentication of a person is a crucial part of any industry. There are many techniques used for this purpose. One of them is face recognition. Face recognition is an effective means of authenticating a person. The advantage of this approach is that, it enables us to detect changes in the face pattern of an individual to an appreciable extent. The recognition system can tolerate lo...

At present there are many methods that could deal well with frontal view face recognition. However, most of them cannot work well when there is only one training image per person. In this paper, an extension of the eigenface technique, i.e. (PC)A, is proposed. (PC)A combines the original face image with its horizontal and vertical projections and then performs principal component analysis on th...

The evaluation of attractiveness followed a scoring methodology rather than the usual classification one has not been attempted. This is desired for the sole reason that any person would be able to further decide between the attractiveness of two faces even if both are deemed attractive. In modelling this scenario, a continous scoring function is more appropriate. In this project, we implemente...

Biometric-based techniques have emerged for recognizing individuals instead of using passwords, PINs, smart cards, plastic cards, tokens etc for authenticating people. Automated face recognition has become a major field of interest. In this field several facial recognition algorithms have been explored in the past few decades. A face recognition system is expected to identify faces present in i...

This paper describes face identification using infrared images and eigenfaces after passing test face through cold effect enhancement and/or sunglasses filtering algorithms and handling facial hair through threshold. Eigenface technique after modification is used to define our eigenspace. Test image before going through the recognition process has to pass through a check to see whether it is a ...