The problem of pattern recognition is one of key issues in machine learning field. Various methods were proposed in literature depending on issues of the problem. In this work the concept of multistage neural networks is going to be presented. This approach is extension of multistage identification. The possibility of using this type of structure for pattern recognition would be discussed and examined with chosen problem from field area. Two-stage writer recognition is going to be considered as practical example in the work. Experiments using well known repository dataset are going to be made...