There are two common methodologies to verify signatures: the functional approach and the parametric approach. This paper presents a new approach for dynamic handwritten signature verification (HSV) using the Neural Network with verification by the Conjugate Gradient Neural Network (NN). It is yet another avenue in the approach to HSV that is found to produce excellent results when compared with...

The Character Recognition of both typed as well as handwritten characters is still an open area of research. Although significant success has been achieved in type written characters but in handwritten it is still to touch an appreciable level. This research proposes an approach of character recognition which besides producing better results of recognition is extremely less complicated as compa...

Paper documents are routinely found in general litigation and criminal and terrorist investigations. The current state-of-the-art processing of these documents is to simply OCR them and search strictly the text. This ignores all handwriting, signatures, logos, images, watermarks, and any other non-text artifacts in a document. Technology, however, exists to extract key metadata from paper docum...

The Integrated Cortical Model (ICM) is based upon several models of the mammalian visual cortex and produces pulse images over several iterations. These pulse images tend to isolate segments, edges, and textures that are inherent in the input image. To create a texture recognition engine the pulse spectrum of individual pixels are collected and used to develop a recognition library. Recognition...

Biometric systems are alternates to the traditional identification systems. This paper provides an overview of single feature and multiple features based biometric systems, including the performance of physiological characteristics (such as fingerprint, hand geometry, head recognition, iris, retina, face recognition, DNA recognition, palm prints, heartbeat, finger veins, palates etc) and behavi...

Online signatures are acquired using a digital tablet which provides all the trajectory of the signature as well as the variation in pressure with respect to time. Therefore, online signature verification achieves higher recognition rates than offline signature verification. Nowadays, forensic document examiners distinguish between forgeries, in which an impostor tries to imitate a given signat...

Vehicles may be recognized from the sound from the sound they make when moving i.e. from their acoustic signature. These sounds may come from various sources including rotational parts, vibrations in the engine, friction between the tires and the pavement, wind effect, gears, fans. Similar vehicles working in comparable conditions would have a similar acoustic signature that could be used for r...

Problem statement: In any real time biometric system processing speed and recognition time are crucial parameters. Reducing processing time involves many parameters like normalization, FAR, FRR, management of eyelid and eyelash occlusions, size of signature etc. Normalization consumes substantial amount of time of the system. This study contributes for improved iris recognition system with redu...

The ubiquity of smartphones together with their ever-growing computing, networking and sensing powers have been changing the landscape of people’s daily life. Among others, activity recoginition, which takes the raw sensor reading as inputs and predicts a user’s motion activity, has become an active research area in recent years. It is the core building block in many high-impact applications, r...

This paper describes an efficient approach to pose invariant object recognition employing pictorial recognition of image patches. A complete affine invariance is achieved by a representation which is based on a new sampling configuration in the frequency domain. Employing Singular Value Decomposition (SVD), the affine transform is decomposed into slant, tilt, swing, scale and 2D translation. Fr...