The most commonly used protection mechanisms today are based on either what a person possesses (e.g. an ID card) or what the person remembers (like passwords and PIN numbers). However, there is always a risk of passwords being cracked by unauthenticated users and ID cards being stolen, in addition to shortcomings like forgotten passwords and lost ID cards (Huang & Yan, 1997). To avoid such inco...

Character recognition is the most important research area in today’s world. Many researchers have focused on recognizing handwritten digits, numerals and characters in so many languages. To the best of our knowledge, little work has been done in the area of Tamil handwritten character recognition but they did not achieve better accuracy. Feature extraction is the important phase of character re...

Offline Arabic handwriting character recognition (AHCR) systems are very important since they make life easier for governments, researchers and scholars who are dealing with Arabic language in education, documentation and security. A widening use of the Arabic script in countries that deals with the Arabic language and countries that use the Arabic script in their languages such as Persian and ...

As a behavior feature, handwritten signatures are widely used in financial and administrative institutions. The appearance of forged will cause great property losses to customers. This paper proposes signature verification method based on improved combined features. According advanced smart pen technology, when writing signature, offline images online data the can be obtained real time. It is f...

The Internet has stimulated increased activity to address key problems relating to the implementation of reliable and robust biometric identity checking. Although not always the biometric modality most readily adopted in such an environment, the handwritten signature continues to offer many advantages over some other more commonly considered biometrics. The authors address some key issues relat...

Handwritten character pattern recognition methods are generally divided into two types: online recognition and offline recognition [1]. Online recognition recognizes character patterns captured from a pen-based or touch-based input device where trajectories of pentip or finger-tip movements are recorded, while offline recognition recognizes character patterns captured from a scanner or a camera...