We propose Generalized Histogram as low-dimensional representation of an image for efficient and precise image matching. Multiplicity detection of videos in broadcast video archives is getting important for many video-based applications including commercial film identification, unsupervised video parsing and structuring, and robust highlight shot detection. This inherently requires efficient an...

We present an enhanced principal component analysis (PCA) algorithm for improving rate of face recognition. The proposed pre-processing method, termed as perfect histogram matching, modifies the image histogram to match a Gaussian shaped tonal distribution in the face images such that spatially the entire set of face images presents similar facial gray-level intensities while the face content i...

This application helps the deaf and dumb person to communicate with the rest of the world using sign language. Suitable existing methods are integrated in this application. The key feature in this system is the real time gesture to text conversion. The processing steps include: gesture extraction, gesture matching and conversion to speech. Gesture extraction involves use of various image proces...

In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows small changes in the histogram signature, giving robustness to partial occlusions. Local features over the object histogram are extracted during a Boosting learning phase, sele...

This paper proposes an algorithm of a face and facial component detection for face recognition. For efficient extraction using image processing, we analyze and improve detecting facial components that are the basis of an image characteristic. The proposed algorithm includes face region detection without the effect of skin color hairs, eye region detection with weighted template matching, eyebro...

Histogram equalization is widely used in different ways to perform contrast enhancement in images. In this paper, a new Histogram modification algorithm is proposed for contrast enhancement of images. Histogram Equalization (HE) is one of the most popular technique used for digital image enhancement, but it is not suitable to be implemented directly in consumer electronics, such as television, ...

Color histogram matching has been shown to be a promising way of quickly indexing into a large image database. Yet, few experiments have been done to test the method on truly large databases, and even if they were performed, they would give little guidance to a user wondering if the technique would be useful with his or her database. In this paper we de ne and analyze measures relevant to exten...

Contrast enhancement plays a crucial role in the field of image processing. Histogram equalization is a simple and automatic method for contrast enhancement. Conventional contrast-enhancement techniques, such as histogram specification and contrast stretching, require manual parameters to achieve satisfactory results. To automatically produce enhanced results for low-contrast images, a new hist...