This paper presents an efficient Optical Character Recognition (OCR) system for offline isolated Pashto characters recognition. Developing OCR handwritten character recognition is a challenging task because of the vary both in shape and style most time also among individuals. The identification inscribed letters becomes even palling due to unavailability standard database. For experimental simu...

In image watermarking, the watermark’s vulnerability to geometric transformations has long been a difficult problem. Using invariant image features to carry the watermark is an effective approach to addressing this problem. In this paper, a multibit geometrically robust image watermarking algorithm using Zernike moments (ZMs) and pseudo-Zernike moments (PZMs) is proposed. Unlike its counterpart...

Structural genomics initiatives have started to accumulate protein structures of unknown function in an increasing pace. Conventional sequence-based function prediction methods are not able to provide useful function information to most of such structures. Thus, structure-based approaches have been developed, which predict function of proteins by capturing structural characteristics of function...

Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India Abstract -A Face Recognition system is computer application for automatically identifying or verifying a person from a digital image or a video frame. Due to the change of lighting condition, expression, occlusion, rotation, etc. the human face appearance could change considerably. In this project a model based approa...

We present in this communication a new method to localize a face in an image. The originality of work presented consists on the use of vectors of geometrical moments like entries to a Forward BackPropagation neural network which provide at its output layer a vector of co-ordinates in (R,θ) representing pixels surrounding the face contained in the treated image. Very known for their orthogonalit...

Shape is an important aspects in recognizing plants. Several approaches have been introduced to identify objects, including plants. Combination of geometric features such as aspect ratio, compactness, and dispersion, or moments such as moment invariants were usually used toidentify plants. In this research, a comparative experiment of 4 methods to identify plants using shape features was accomp...

In this paper, we present a computationally fast and robust image watermarking system with high embedding capacity. The watermark signal is embedded by quantizing the magnitudes of higher order Zernike moments (ZMs). The use of fast and numerically stable method for ZMs computation is proposed to overcome the high computational complexity and numerical instability at the high order of moments. ...

Mammography is the only effective and viable technique to detect breast cancer especially in the case of minimal tumors. About 30% to 50% of breast cancers demonstrate deposits of calcium called micro calcifications. Our method proposes an approach for detecting microcalcification in mammograms based on combined feature set with Support Vector Machine (SVM) classifier. The diagonal matrix ̳S‘ o...

Shape is not only an important indicator for assessing the grade of the apple, but also the important factors for increasing the value of the apple. In order to improve the apple shape classification accuracy rate, an approach for apple shape sorting based on wavelet moments was proposed, the image was first subjected to a normalization process using its regular moments to obtain scale and tran...