Bodade R.M., Talbar S.N. Iris Analysis for Biometric Recognition Systems

Springer, 2014. — 121 p.The book provides a comprehensive overview of the developments in this important area of biometrics, in addition to describing some related work of the authors in the use of the complex wavelet transform.
The book has examined in detail different aspects of iris analysis, where the authors review the state of the art in the field, and present their own recent work in the area. Chapter 1 gives a nice introduction to the area. Chapter 2 presents an overview of the related research in the area. This chapter covers areas right from iris segmentation to feature extraction and recognition. It can serve as a starting point for a beginner in the area. Chapter 3 presents two simple, yet elegant, iris segmentation methods. As in some popular computer vision applications, the authors use heuristics backed by empirical studies and statistical verification. The pupil dynamics method also leads to an iris aliveness detection method. Wavelets are not new. The use of the Dual Tree Complex Wavelet Transform (DTCWT, hereafter), however, presents new avenues in feature extraction, which help ameliorate limitations of the traditional Discrete Wavelet Transform. The heart of the authors’ recognition scheme is built around this form of wavelet transform. Texture-based features have traditionally been used for iris analysis. The authors show the use of the DT-CWT and Rotated Complex Wavelet Filters (RCWF) at different orientations and scales, at low computational cost, and provide results of extensive experimentation on standard databases in support of the proposed methodology.
The authors have created a fairly comprehensive reference for beginners and practitioners alike, in iris recognition. An important aspect of the book is its ability to explain the physical significance of many concepts in a lucid manner, which is important for an engineering practitioner, without getting lost in mathematical details. At the same time, the text provides enough pointers to a mathematically oriented reader to delve further into the myriad depths of the subject.Introduction to Iris Recognition
Related Work
Iris Segmentation
Iris Recognition Using Dual-Tree Complex Wavelet Transform and Rotated Complex Wavelet Filters
Conclusion and Future Scope