— In this paper, a new method for offline handwritten signature retrieval is based on curvelet transform is proposed. Many applications in image processing require similarity retrieval of an image from a large collection of images. In such cases, image indexing becomes important for efficient organization and retrieval of images. This paper addresses this issue in the context of a database of h...

Biometrics can be classified into two broad categories— behavioral (signature verification, keystroke dynamics, etc.) and physiological (iris characteristics, fingerprint, etc.). Handwritten signature is amongst the first few biometrics to be used even before the advent of computers. Signature verification is widely studied and discussed using two approaches [5]. On-line approach uses an electr...

With the advancement in the technology the jobs for the human kind is becoming more and more tedious with millions and trillions of documents waiting to be processed. Certainly, such a daunting tasks are next to impossible to be completed manually. Over a period, the things are getting automatically done with the robots or intelligent computer systems. Optical character recognition is one of su...

The various researches conducted for classification of handwritten signatures of people have shown that the task is difficult because there are intra personal differences among the signatures of the same person. The signatures of the same person vary with time, age of the person and also because of the emotional state of a person. The task of classifying the skilled forgery signatures is all th...

Multiple applications use offline handwritten signatures for human verification. This fact increases the need building a computerized system signature recognition and verification schemes to ensure highest possible level of security from counterfeit signatures. research is devoted developing based on combination local ridge features other obtained applying two-level Haar wavelet transform. The ...

We introduce an effective approach for automatic offline auinjuries, illness, temperature, age and emotional state as well thentication of handwritten samples where the forgeries are skillfully done, as external factors such as alcohols and drugs [3] – an original i.e., the true and forgery sample appearances are almost alike. Subtle details piece of writing has many natural personal characteri...

In this paper a block based robust watermarking technique using wavelet transform has been presented which exploits human visual model for adapting the watermark data to local properties of the host image. The watermark (offline handwritten signature) is embedded to the most significant coefficients at the high frequency bands of the discrete wavelet transform of host image. The watermark stren...