Normalization is a very important step in automatic cursive handwritten word recognition. Based on an offline recognition system for Arabic handwritten words which uses a semi-continuous 1-dimensional HMM recognizer two different feature sets are presented. The dependencies of the feature sets from normalization steps is discussed and their performances are compared using the IFN/ENIT database ...

Automatic Signature Verification and Forgery Detection has numerous applications in various fields like Bank-Cheque processing, ATM access, Document Authentications etc. Handwritten Signatures have proved pivotal in Authentication of the identity of the person signing the document. This being very important area the problem of signature verification and forgery detection becomes crucial. Handwr...

This paper is aimed at recognition of offline handwritten characters in a given scanned text document with the help of neural networks. Image preprocessing, segmentation and feature extraction are various phases involved in character recognition. The first step is image acquisition followed by noise filtering, smoothing and image normalization of scanned image. Segmentation decomposes image int...

The signatures are one of the ways to identify the signer. Signature recognition is the process of verifying the person’s identity by checking their signature with the signatures which are stored in the database. This process is of two types: offline and online. This paper deals with the offline technique. This technique recognizes the person whether he/she is genuine or forged. In this paper t...

Hidden Markov Models constitute an established approach often employed for offline handwritten character recognition in digitized documents. The current work aims at evaluating a number of procedures frequently used to define features in the character recognition literature, within a common Hidden Markov Model framework. By separating model and feature structure, this should give a more clear i...

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters, only a very few work can be traced for handwritten character recognition of Indian scripts es...

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. This paper provides a comprehensive review of existing works in handwritten character recognition based on Evolutionary computing technique during the past decade. KeywordsHandwritten Character recognition...

The automatic verification of handwritten signatures (AVHS) is the task of verifying the identity of a person based on a number of handwritten signatures known to belong to the claimed identity and a handwritten signature claimed to belong to the given person. The problem is difficult because handwritten signatures may vary by time, psychological state of the writing person or the pen, just to ...