Eyelids, eyelashes detection algorithm and houghtransform method for noise removal in iris recognition

<p><span>The biometric system is based on human’s behavioral and physical characteristics. Among all of these, iris has unique structure, higher accuracy and it can remain stable over a person’s life. Iris recognition is the method by which system recognize a person by their unique identical feature found in the iris. Iris recognition technology includes four subsections as, capturing of the iris image, segmentation, extraction of the needed features and matching. This paper is a detail description of eyelids; eyelashes detection technique and Hough transform method applied on iris image. </span></p>

Neurologist, 6 years’ experience, China; Neurosurgeon, 10 years’ experience, China

This chapter assesses the complexity of the diagnosis of Psychogenic Non-Epileptic Seizures (PNES). First, it is hard to discern a patient with PNES by global impression. Unlike other psychological conditions, a brief inquiry in the outpatient department may well only contribute little to the diagnosis of PNES. Second, PNES can present in many different forms and there is no single, identical feature. Symptoms of PNES are usually described as theatrical or thought to change often, but this is not always the case. Especially in patients with variable symptoms, it would be unreliable to draw firm conclusions based on one or two attacks. Third, PNES and epilepsy may coincide. In such cases, it is both tricky to make a diagnosis and even harder to persuade the patient to accept psychotherapy.